Upload W&B logs
Browse files- .gitattributes +4 -0
- wandb_logs/debug-internal.log +12 -0
- wandb_logs/debug.log +29 -0
- wandb_logs/run-20251122_161333-76f9jnsn/files/config.yaml +543 -0
- wandb_logs/run-20251122_161333-76f9jnsn/files/output.log +83 -0
- wandb_logs/run-20251122_161333-76f9jnsn/files/requirements.txt +698 -0
- wandb_logs/run-20251122_161333-76f9jnsn/files/wandb-metadata.json +43 -0
- wandb_logs/run-20251122_161333-76f9jnsn/files/wandb-summary.json +1 -0
- wandb_logs/run-20251122_161333-76f9jnsn/logs/debug-core.log +16 -0
- wandb_logs/run-20251122_161333-76f9jnsn/logs/debug-internal.log +12 -0
- wandb_logs/run-20251122_161333-76f9jnsn/logs/debug.log +29 -0
- wandb_logs/run-20251122_161333-76f9jnsn/run-76f9jnsn.wandb +3 -0
- wandb_logs/run-20251122_162012-g5qyspo9/files/config.yaml +543 -0
- wandb_logs/run-20251122_162012-g5qyspo9/files/output.log +81 -0
- wandb_logs/run-20251122_162012-g5qyspo9/files/requirements.txt +698 -0
- wandb_logs/run-20251122_162012-g5qyspo9/files/wandb-metadata.json +43 -0
- wandb_logs/run-20251122_162012-g5qyspo9/files/wandb-summary.json +1 -0
- wandb_logs/run-20251122_162012-g5qyspo9/logs/debug-core.log +16 -0
- wandb_logs/run-20251122_162012-g5qyspo9/logs/debug-internal.log +12 -0
- wandb_logs/run-20251122_162012-g5qyspo9/logs/debug.log +29 -0
- wandb_logs/run-20251122_162012-g5qyspo9/run-g5qyspo9.wandb +3 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/files/config.yaml +542 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/files/output.log +83 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/files/requirements.txt +698 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/files/wandb-metadata.json +43 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/files/wandb-summary.json +1 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/logs/debug-core.log +16 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/logs/debug-internal.log +12 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/logs/debug.log +29 -0
- wandb_logs/run-20251122_162942-hn6dt5mn/run-hn6dt5mn.wandb +3 -0
- wandb_logs/run-20251122_163550-m5him6ro/files/config.yaml +542 -0
- wandb_logs/run-20251122_163550-m5him6ro/files/output.log +85 -0
- wandb_logs/run-20251122_163550-m5him6ro/files/requirements.txt +698 -0
- wandb_logs/run-20251122_163550-m5him6ro/files/wandb-metadata.json +43 -0
- wandb_logs/run-20251122_163550-m5him6ro/files/wandb-summary.json +1 -0
- wandb_logs/run-20251122_163550-m5him6ro/logs/debug-core.log +8 -0
- wandb_logs/run-20251122_163550-m5him6ro/logs/debug-internal.log +12 -0
- wandb_logs/run-20251122_163550-m5him6ro/logs/debug.log +29 -0
- wandb_logs/run-20251122_163550-m5him6ro/run-m5him6ro.wandb +3 -0
.gitattributes
CHANGED
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@@ -34,3 +34,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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wandb_logs/run-20251122_161333-76f9jnsn/run-76f9jnsn.wandb filter=lfs diff=lfs merge=lfs -text
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wandb_logs/run-20251122_162012-g5qyspo9/run-g5qyspo9.wandb filter=lfs diff=lfs merge=lfs -text
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wandb_logs/run-20251122_162942-hn6dt5mn/run-hn6dt5mn.wandb filter=lfs diff=lfs merge=lfs -text
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wandb_logs/run-20251122_163550-m5him6ro/run-m5him6ro.wandb filter=lfs diff=lfs merge=lfs -text
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wandb_logs/debug-internal.log
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{"time":"2025-11-22T16:35:50.805821173Z","level":"INFO","msg":"stream: starting","core version":"0.23.0"}
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{"time":"2025-11-22T16:35:50.983274069Z","level":"INFO","msg":"stream: created new stream","id":"m5him6ro"}
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{"time":"2025-11-22T16:35:50.983363489Z","level":"INFO","msg":"handler: started","stream_id":"m5him6ro"}
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{"time":"2025-11-22T16:35:50.98355309Z","level":"INFO","msg":"stream: started","id":"m5him6ro"}
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{"time":"2025-11-22T16:35:50.983569327Z","level":"INFO","msg":"writer: started","stream_id":"m5him6ro"}
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{"time":"2025-11-22T16:35:50.98359798Z","level":"INFO","msg":"sender: started","stream_id":"m5him6ro"}
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{"time":"2025-11-22T16:39:00.205501519Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
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{"time":"2025-11-22T16:39:00.463399932Z","level":"INFO","msg":"handler: operation stats","stats":{}}
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{"time":"2025-11-22T16:39:00.468876223Z","level":"INFO","msg":"stream: closing","id":"m5him6ro"}
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{"time":"2025-11-22T16:39:00.46888806Z","level":"INFO","msg":"handler: closed","stream_id":"m5him6ro"}
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{"time":"2025-11-22T16:39:00.468936772Z","level":"INFO","msg":"sender: closed","stream_id":"m5him6ro"}
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{"time":"2025-11-22T16:39:00.468946311Z","level":"INFO","msg":"stream: closed","id":"m5him6ro"}
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wandb_logs/debug.log
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_setup.py:_flush():80] Current SDK version is 0.23.0
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_setup.py:_flush():80] Configure stats pid to 8125
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_setup.py:_flush():80] Loading settings from /root/.config/wandb/settings
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_setup.py:_flush():80] Loading settings from /content/code-switch-identification-model/wandb/settings
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_setup.py:_flush():80] Loading settings from environment variables
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_init.py:setup_run_log_directory():713] Logging user logs to /content/code-switch-identification-model/wandb/run-20251122_163550-m5him6ro/logs/debug.log
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_init.py:setup_run_log_directory():714] Logging internal logs to /content/code-switch-identification-model/wandb/run-20251122_163550-m5him6ro/logs/debug-internal.log
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_init.py:init():840] calling init triggers
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_init.py:init():845] wandb.init called with sweep_config: {}
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config: {'model': 'ai4bharat/indic-bert', 'train_file': 'synthetic_data_gen/data3/train.txt', 'max_length': 128, 'epochs': 3, 'batch_size': 16, 'learning_rate': 2e-05, 'warmup_ratio': 0.1, 'weight_decay': 0.01, '_wandb': {}}
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2025-11-22 16:35:50,521 INFO MainThread:8125 [wandb_init.py:init():888] starting backend
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2025-11-22 16:35:50,800 INFO MainThread:8125 [wandb_init.py:init():891] sending inform_init request
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2025-11-22 16:35:50,803 INFO MainThread:8125 [wandb_init.py:init():899] backend started and connected
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2025-11-22 16:35:50,809 INFO MainThread:8125 [wandb_init.py:init():969] updated telemetry
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2025-11-22 16:35:50,818 INFO MainThread:8125 [wandb_init.py:init():993] communicating run to backend with 90.0 second timeout
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2025-11-22 16:35:51,276 INFO MainThread:8125 [wandb_init.py:init():1040] starting run threads in backend
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2025-11-22 16:35:51,767 INFO MainThread:8125 [wandb_run.py:_console_start():2504] atexit reg
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2025-11-22 16:35:51,768 INFO MainThread:8125 [wandb_run.py:_redirect():2352] redirect: wrap_raw
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2025-11-22 16:35:51,768 INFO MainThread:8125 [wandb_run.py:_redirect():2421] Wrapping output streams.
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2025-11-22 16:35:51,768 INFO MainThread:8125 [wandb_run.py:_redirect():2444] Redirects installed.
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2025-11-22 16:35:51,770 INFO MainThread:8125 [wandb_init.py:init():1080] run started, returning control to user process
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2025-11-22 16:36:09,574 INFO MainThread:8125 [wandb_run.py:_config_callback():1385] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'float32', 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': None, 'finetuning_task': None, 'id2label': {0: 'O', 1: 'B-GUJ', 2: 'I-GUJ', 3: 'B-ENG', 4: 'I-ENG'}, 'label2id': {'O': 0, 'B-GUJ': 1, 'I-GUJ': 2, 'B-ENG': 3, 'I-ENG': 4}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 2, 'pad_token_id': 0, 'eos_token_id': 3, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'num_beam_groups': 1, 'diversity_penalty': 0.0, '_name_or_path': 'ai4bharat/indic-bert', 'transformers_version': '4.57.1', 'model_type': 'albert', 'net_structure_type': 0, 'gap_size': 0, 'num_memory_blocks': 0, 'down_scale_factor': 1, 'tf_legacy_loss': False, 'use_bfloat16': False, 'vocab_size': 200000, 'embedding_size': 128, 'hidden_size': 768, 'num_hidden_layers': 12, 'num_hidden_groups': 1, 'num_attention_heads': 12, 'inner_group_num': 1, 'hidden_act': 'gelu', 'intermediate_size': 3072, 'hidden_dropout_prob': 0, 'attention_probs_dropout_prob': 0, 'max_position_embeddings': 512, 'type_vocab_size': 2, 'initializer_range': 0.02, 'layer_norm_eps': 1e-12, 'classifier_dropout_prob': 0.1, 'position_embedding_type': 'absolute', 'output_attentions': False, 'output_dir': './models/indic-bert-data3', 'overwrite_output_dir': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', 'prediction_loss_only': False, 'per_device_train_batch_size': 16, 'per_device_eval_batch_size': 32, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 2e-05, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.1, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './models/indic-bert-data3/logs', 'logging_strategy': 'steps', 'logging_first_step': True, 'logging_steps': 50, 'logging_nan_inf_filter': True, 'save_strategy': 'epoch', 'save_steps': None, 'save_total_limit': 3, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'f1', 'greater_is_better': True, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch_fused', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': 'h3110Fr13nd/guj-eng-code-switch-indic-bert-data3', 'hub_strategy': 'end', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'guj-eng-code-switch-indic-bert-data3', 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True}
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2025-11-22 16:36:09,579 INFO MainThread:8125 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 32856837 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7c092d0cdc10>>
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2025-11-22 16:36:09,579 INFO MainThread:8125 [wandb_run.py:_config_callback():1385] config_cb model/num_parameters 32856837 None
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2025-11-22 16:38:59,697 INFO MainThread:8125 [wandb_run.py:_finish():2270] finishing run h3110fr13nd-esparkbiz-technologies-pvt/gujarati-english-code-switch/m5him6ro
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2025-11-22 16:38:59,699 INFO MainThread:8125 [wandb_run.py:_atexit_cleanup():2469] got exitcode: 0
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2025-11-22 16:38:59,700 INFO MainThread:8125 [wandb_run.py:_restore():2451] restore
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2025-11-22 16:38:59,700 INFO MainThread:8125 [wandb_run.py:_restore():2457] restore done
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2025-11-22 16:39:00,468 INFO MainThread:8125 [wandb_run.py:_footer_sync_info():3853] logging synced files
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wandb_logs/run-20251122_161333-76f9jnsn/files/config.yaml
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: bert-base-multilingual-cased
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
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cli_version: 0.23.0
|
| 6 |
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e:
|
| 7 |
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2kuo2wa7mpmbyuiylwlvpgza9ojvsbhz:
|
| 8 |
+
args:
|
| 9 |
+
- configs/bert_data2.json
|
| 10 |
+
codePath: train.py
|
| 11 |
+
codePathLocal: train.py
|
| 12 |
+
cpu_count: 1
|
| 13 |
+
cpu_count_logical: 2
|
| 14 |
+
cudaVersion: "12.4"
|
| 15 |
+
disk:
|
| 16 |
+
/:
|
| 17 |
+
total: "120942624768"
|
| 18 |
+
used: "41432219648"
|
| 19 |
+
email: [email protected]
|
| 20 |
+
executable: /usr/bin/python3
|
| 21 |
+
git:
|
| 22 |
+
commit: de0702477fe9412790ab872e2d1361a32e068b2d
|
| 23 |
+
remote: https://h3110Fr13nd:@github.com/h3110Fr13nd/code-switch-identification-model.git
|
| 24 |
+
gpu: Tesla T4
|
| 25 |
+
gpu_count: 1
|
| 26 |
+
gpu_nvidia:
|
| 27 |
+
- architecture: Turing
|
| 28 |
+
cudaCores: 2560
|
| 29 |
+
memoryTotal: "16106127360"
|
| 30 |
+
name: Tesla T4
|
| 31 |
+
uuid: GPU-d740f133-e3a8-f36c-28a2-52b7659451f1
|
| 32 |
+
host: f0da10c9a12b
|
| 33 |
+
memory:
|
| 34 |
+
total: "13605842944"
|
| 35 |
+
os: Linux-6.6.105+-x86_64-with-glibc2.35
|
| 36 |
+
program: /content/code-switch-identification-model/train.py
|
| 37 |
+
python: CPython 3.12.12
|
| 38 |
+
root: /content/code-switch-identification-model
|
| 39 |
+
startedAt: "2025-11-22T16:13:33.410421Z"
|
| 40 |
+
writerId: 2kuo2wa7mpmbyuiylwlvpgza9ojvsbhz
|
| 41 |
+
m:
|
| 42 |
+
- "1": train/global_step
|
| 43 |
+
"6":
|
| 44 |
+
- 3
|
| 45 |
+
"7": []
|
| 46 |
+
- "2": '*'
|
| 47 |
+
"5": 1
|
| 48 |
+
"6":
|
| 49 |
+
- 1
|
| 50 |
+
"7": []
|
| 51 |
+
python_version: 3.12.12
|
| 52 |
+
t:
|
| 53 |
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"1":
|
| 54 |
+
- 1
|
| 55 |
+
- 2
|
| 56 |
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- 3
|
| 57 |
+
- 5
|
| 58 |
+
- 11
|
| 59 |
+
- 12
|
| 60 |
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- 41
|
| 61 |
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- 49
|
| 62 |
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- 51
|
| 63 |
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- 53
|
| 64 |
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- 71
|
| 65 |
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- 98
|
| 66 |
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- 100
|
| 67 |
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- 105
|
| 68 |
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"2":
|
| 69 |
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- 1
|
| 70 |
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- 2
|
| 71 |
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- 3
|
| 72 |
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- 5
|
| 73 |
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- 11
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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| 81 |
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|
| 82 |
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|
| 83 |
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| 84 |
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|
| 85 |
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| 86 |
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|
| 87 |
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| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"5": 0.23.0
|
| 94 |
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"6": 4.57.1
|
| 95 |
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"9":
|
| 96 |
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"1": transformers_trainer
|
| 97 |
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"12": 0.23.0
|
| 98 |
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"13": linux-x86_64
|
| 99 |
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accelerator_config:
|
| 100 |
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value:
|
| 101 |
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dispatch_batches: null
|
| 102 |
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even_batches: true
|
| 103 |
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gradient_accumulation_kwargs: null
|
| 104 |
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non_blocking: false
|
| 105 |
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split_batches: false
|
| 106 |
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use_seedable_sampler: true
|
| 107 |
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adafactor:
|
| 108 |
+
value: false
|
| 109 |
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adam_beta1:
|
| 110 |
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value: 0.9
|
| 111 |
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adam_beta2:
|
| 112 |
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value: 0.999
|
| 113 |
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adam_epsilon:
|
| 114 |
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value: 1e-08
|
| 115 |
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add_cross_attention:
|
| 116 |
+
value: false
|
| 117 |
+
architectures:
|
| 118 |
+
value:
|
| 119 |
+
- BertForMaskedLM
|
| 120 |
+
attention_probs_dropout_prob:
|
| 121 |
+
value: 0.1
|
| 122 |
+
auto_find_batch_size:
|
| 123 |
+
value: false
|
| 124 |
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average_tokens_across_devices:
|
| 125 |
+
value: true
|
| 126 |
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bad_words_ids:
|
| 127 |
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value: null
|
| 128 |
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batch_eval_metrics:
|
| 129 |
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value: false
|
| 130 |
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batch_size:
|
| 131 |
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value: 16
|
| 132 |
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begin_suppress_tokens:
|
| 133 |
+
value: null
|
| 134 |
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bf16:
|
| 135 |
+
value: false
|
| 136 |
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bf16_full_eval:
|
| 137 |
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value: false
|
| 138 |
+
bos_token_id:
|
| 139 |
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value: null
|
| 140 |
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chunk_size_feed_forward:
|
| 141 |
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value: 0
|
| 142 |
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classifier_dropout:
|
| 143 |
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value: null
|
| 144 |
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cross_attention_hidden_size:
|
| 145 |
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value: null
|
| 146 |
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data_seed:
|
| 147 |
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value: null
|
| 148 |
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dataloader_drop_last:
|
| 149 |
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value: false
|
| 150 |
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dataloader_num_workers:
|
| 151 |
+
value: 0
|
| 152 |
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dataloader_persistent_workers:
|
| 153 |
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value: false
|
| 154 |
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dataloader_pin_memory:
|
| 155 |
+
value: true
|
| 156 |
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dataloader_prefetch_factor:
|
| 157 |
+
value: null
|
| 158 |
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ddp_backend:
|
| 159 |
+
value: null
|
| 160 |
+
ddp_broadcast_buffers:
|
| 161 |
+
value: null
|
| 162 |
+
ddp_bucket_cap_mb:
|
| 163 |
+
value: null
|
| 164 |
+
ddp_find_unused_parameters:
|
| 165 |
+
value: null
|
| 166 |
+
ddp_timeout:
|
| 167 |
+
value: 1800
|
| 168 |
+
debug:
|
| 169 |
+
value: []
|
| 170 |
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decoder_start_token_id:
|
| 171 |
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value: null
|
| 172 |
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deepspeed:
|
| 173 |
+
value: null
|
| 174 |
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directionality:
|
| 175 |
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value: bidi
|
| 176 |
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disable_tqdm:
|
| 177 |
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value: false
|
| 178 |
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diversity_penalty:
|
| 179 |
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value: 0
|
| 180 |
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do_eval:
|
| 181 |
+
value: true
|
| 182 |
+
do_predict:
|
| 183 |
+
value: false
|
| 184 |
+
do_sample:
|
| 185 |
+
value: false
|
| 186 |
+
do_train:
|
| 187 |
+
value: false
|
| 188 |
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dtype:
|
| 189 |
+
value: float32
|
| 190 |
+
early_stopping:
|
| 191 |
+
value: false
|
| 192 |
+
encoder_no_repeat_ngram_size:
|
| 193 |
+
value: 0
|
| 194 |
+
eos_token_id:
|
| 195 |
+
value: null
|
| 196 |
+
epochs:
|
| 197 |
+
value: 3
|
| 198 |
+
eval_accumulation_steps:
|
| 199 |
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value: null
|
| 200 |
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eval_delay:
|
| 201 |
+
value: 0
|
| 202 |
+
eval_do_concat_batches:
|
| 203 |
+
value: true
|
| 204 |
+
eval_on_start:
|
| 205 |
+
value: false
|
| 206 |
+
eval_steps:
|
| 207 |
+
value: null
|
| 208 |
+
eval_strategy:
|
| 209 |
+
value: epoch
|
| 210 |
+
eval_use_gather_object:
|
| 211 |
+
value: false
|
| 212 |
+
exponential_decay_length_penalty:
|
| 213 |
+
value: null
|
| 214 |
+
finetuning_task:
|
| 215 |
+
value: null
|
| 216 |
+
forced_bos_token_id:
|
| 217 |
+
value: null
|
| 218 |
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forced_eos_token_id:
|
| 219 |
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value: null
|
| 220 |
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fp16:
|
| 221 |
+
value: false
|
| 222 |
+
fp16_backend:
|
| 223 |
+
value: auto
|
| 224 |
+
fp16_full_eval:
|
| 225 |
+
value: false
|
| 226 |
+
fp16_opt_level:
|
| 227 |
+
value: O1
|
| 228 |
+
fsdp:
|
| 229 |
+
value: []
|
| 230 |
+
fsdp_config:
|
| 231 |
+
value:
|
| 232 |
+
min_num_params: 0
|
| 233 |
+
xla: false
|
| 234 |
+
xla_fsdp_grad_ckpt: false
|
| 235 |
+
xla_fsdp_v2: false
|
| 236 |
+
fsdp_min_num_params:
|
| 237 |
+
value: 0
|
| 238 |
+
fsdp_transformer_layer_cls_to_wrap:
|
| 239 |
+
value: null
|
| 240 |
+
full_determinism:
|
| 241 |
+
value: false
|
| 242 |
+
gradient_accumulation_steps:
|
| 243 |
+
value: 1
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| 244 |
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| 246 |
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| 248 |
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greater_is_better:
|
| 249 |
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value: true
|
| 250 |
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group_by_length:
|
| 251 |
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value: false
|
| 252 |
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half_precision_backend:
|
| 253 |
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value: auto
|
| 254 |
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hidden_act:
|
| 255 |
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value: gelu
|
| 256 |
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hidden_dropout_prob:
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| 257 |
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value: 0.1
|
| 258 |
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value: h3110Fr13nd/guj-eng-code-switch-bert-multilingual-data2
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|
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|
| 269 |
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value: end
|
| 270 |
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|
| 271 |
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value: <HUB_TOKEN>
|
| 272 |
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id2label:
|
| 273 |
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value:
|
| 274 |
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"0": O
|
| 275 |
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"1": B-GUJ
|
| 276 |
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"2": I-GUJ
|
| 277 |
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"3": B-ENG
|
| 278 |
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"4": I-ENG
|
| 279 |
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|
| 280 |
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| 281 |
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|
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|
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|
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|
| 287 |
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|
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|
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|
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|
| 291 |
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|
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|
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|
| 303 |
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label2id:
|
| 304 |
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value:
|
| 305 |
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B-ENG: 3
|
| 306 |
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B-GUJ: 1
|
| 307 |
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I-ENG: 4
|
| 308 |
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I-GUJ: 2
|
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O: 0
|
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|
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|
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value: ./models/bert-multilingual-data2/logs
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logging_nan_inf_filter:
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| 341 |
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max_steps:
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metric_for_best_model:
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value: f1
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min_length:
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model:
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value: bert-base-multilingual-cased
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model/num_parameters:
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value: 177266693
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num_beams:
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num_train_epochs:
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optim:
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value: adamw_torch_fused
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optim_args:
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| 383 |
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value: null
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| 384 |
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optim_target_modules:
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| 385 |
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value: null
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| 386 |
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output_attentions:
|
| 387 |
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value: false
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| 388 |
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output_dir:
|
| 389 |
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value: ./models/bert-multilingual-data2
|
| 390 |
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output_hidden_states:
|
| 391 |
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value: false
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| 392 |
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output_scores:
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| 393 |
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value: false
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| 394 |
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overwrite_output_dir:
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value: true
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| 396 |
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pad_token_id:
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| 397 |
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parallelism_config:
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value: null
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| 400 |
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past_index:
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value: -1
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per_device_eval_batch_size:
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value: 32
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| 404 |
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per_device_train_batch_size:
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value: 16
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per_gpu_eval_batch_size:
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value: null
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| 408 |
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per_gpu_train_batch_size:
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| 409 |
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value: null
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| 410 |
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pooler_fc_size:
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| 411 |
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value: 768
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| 412 |
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pooler_num_attention_heads:
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| 413 |
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value: 12
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| 414 |
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pooler_num_fc_layers:
|
| 415 |
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value: 3
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| 416 |
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pooler_size_per_head:
|
| 417 |
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value: 128
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| 418 |
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pooler_type:
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| 419 |
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value: first_token_transform
|
| 420 |
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position_embedding_type:
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prediction_loss_only:
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project:
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push_to_hub:
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push_to_hub_model_id:
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value: guj-eng-code-switch-bert-multilingual-data2
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push_to_hub_organization:
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value: null
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push_to_hub_token:
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| 437 |
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value: <PUSH_TO_HUB_TOKEN>
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| 438 |
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ray_scope:
|
| 439 |
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value: last
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| 440 |
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remove_invalid_values:
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| 441 |
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value: false
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| 442 |
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remove_unused_columns:
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| 443 |
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value: true
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| 444 |
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repetition_penalty:
|
| 445 |
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value: 1
|
| 446 |
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report_to:
|
| 447 |
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value:
|
| 448 |
+
- tensorboard
|
| 449 |
+
- wandb
|
| 450 |
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restore_callback_states_from_checkpoint:
|
| 451 |
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value: false
|
| 452 |
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resume_from_checkpoint:
|
| 453 |
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value: null
|
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return_dict:
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| 455 |
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value: true
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return_dict_in_generate:
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| 457 |
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value: false
|
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run_name:
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value: null
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| 460 |
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save_on_each_node:
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value: false
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save_only_model:
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value: false
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save_safetensors:
|
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value: true
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| 466 |
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save_steps:
|
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value: null
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| 468 |
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save_strategy:
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| 469 |
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value: epoch
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save_total_limit:
|
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value: 3
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value: 42
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| 474 |
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sep_token_id:
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value: null
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skip_memory_metrics:
|
| 477 |
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value: true
|
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suppress_tokens:
|
| 479 |
+
value: null
|
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task_specific_params:
|
| 481 |
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value: null
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temperature:
|
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value: 1
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|
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tf32:
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value: null
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| 488 |
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tie_encoder_decoder:
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value: false
|
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tie_word_embeddings:
|
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value: true
|
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tokenizer_class:
|
| 493 |
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value: null
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| 494 |
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top_k:
|
| 495 |
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value: 50
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| 496 |
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top_p:
|
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value: 1
|
| 498 |
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torch_compile:
|
| 499 |
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value: false
|
| 500 |
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torch_compile_backend:
|
| 501 |
+
value: null
|
| 502 |
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torch_compile_mode:
|
| 503 |
+
value: null
|
| 504 |
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torch_empty_cache_steps:
|
| 505 |
+
value: null
|
| 506 |
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torchdynamo:
|
| 507 |
+
value: null
|
| 508 |
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torchscript:
|
| 509 |
+
value: false
|
| 510 |
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tpu_metrics_debug:
|
| 511 |
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value: false
|
| 512 |
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tpu_num_cores:
|
| 513 |
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value: null
|
| 514 |
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trackio_space_id:
|
| 515 |
+
value: trackio
|
| 516 |
+
train_file:
|
| 517 |
+
value: synthetic_data_gen/data2/train.txt
|
| 518 |
+
transformers_version:
|
| 519 |
+
value: 4.57.1
|
| 520 |
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type_vocab_size:
|
| 521 |
+
value: 2
|
| 522 |
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typical_p:
|
| 523 |
+
value: 1
|
| 524 |
+
use_bfloat16:
|
| 525 |
+
value: false
|
| 526 |
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use_cache:
|
| 527 |
+
value: true
|
| 528 |
+
use_cpu:
|
| 529 |
+
value: false
|
| 530 |
+
use_legacy_prediction_loop:
|
| 531 |
+
value: false
|
| 532 |
+
use_liger_kernel:
|
| 533 |
+
value: false
|
| 534 |
+
use_mps_device:
|
| 535 |
+
value: false
|
| 536 |
+
vocab_size:
|
| 537 |
+
value: 119547
|
| 538 |
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warmup_ratio:
|
| 539 |
+
value: 0.1
|
| 540 |
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warmup_steps:
|
| 541 |
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value: 0
|
| 542 |
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weight_decay:
|
| 543 |
+
value: 0.01
|
wandb_logs/run-20251122_161333-76f9jnsn/files/output.log
ADDED
|
@@ -0,0 +1,83 @@
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
| 1 |
+
|
| 2 |
+
_| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|
|
| 3 |
+
_| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 4 |
+
_|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|
|
| 5 |
+
_| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 6 |
+
_| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|
|
| 7 |
+
Enter your token (input will not be visible):
|
| 8 |
+
|
| 9 |
+
[1m[31mCannot authenticate through git-credential as no helper is defined on your machine.
|
| 10 |
+
You might have to re-authenticate when pushing to the Hugging Face Hub.
|
| 11 |
+
Run the following command in your terminal in case you want to set the 'store' credential helper as default.
|
| 12 |
+
|
| 13 |
+
git config --global credential.helper store
|
| 14 |
+
|
| 15 |
+
Read https://git-scm.com/book/en/v2/Git-Tools-Credential-Storage for more details.[0m
|
| 16 |
+
Token has not been saved to git credential helper.
|
| 17 |
+
WARNING:huggingface_hub._login:Token has not been saved to git credential helper.
|
| 18 |
+
tokenizer_config.json: 100% 49.0/49.0 [00:00<00:00, 192kB/s]
|
| 19 |
+
config.json: 100% 625/625 [00:00<00:00, 2.58MB/s]
|
| 20 |
+
vocab.txt: 100% 996k/996k [00:00<00:00, 7.70MB/s]
|
| 21 |
+
tokenizer.json: 100% 1.96M/1.96M [00:00<00:00, 7.55MB/s]
|
| 22 |
+
model.safetensors: 100% 714M/714M [00:11<00:00, 60.5MB/s]
|
| 23 |
+
Some weights of BertForTokenClassification were not initialized from the model checkpoint at bert-base-multilingual-cased and are newly initialized: ['classifier.bias', 'classifier.weight']
|
| 24 |
+
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
|
| 25 |
+
Downloading builder script: 6.34kB [00:00, 13.1MB/s]
|
| 26 |
+
{'loss': 1.6561, 'grad_norm': 11.050471305847168, 'learning_rate': 0.0, 'epoch': 0.01}
|
| 27 |
+
{'loss': 1.0255, 'grad_norm': 7.669041633605957, 'learning_rate': 1.9600000000000002e-05, 'epoch': 0.3}
|
| 28 |
+
{'loss': 0.2894, 'grad_norm': 2.569448947906494, 'learning_rate': 1.7782805429864253e-05, 'epoch': 0.61}
|
| 29 |
+
{'loss': 0.1821, 'grad_norm': 2.593822956085205, 'learning_rate': 1.552036199095023e-05, 'epoch': 0.91}
|
| 30 |
+
Downloading builder script: 6.34kB [00:00, 11.3MB/s]
|
| 31 |
+
100% 492/492 [03:16<00:00, 2.51it/s]:00, ?B/s]
|
| 32 |
+
{'eval_loss': 0.07226230204105377, 'eval_precision': 0.8930976430976431, 'eval_recall': 0.9068376068376068, 'eval_f1': 0.8999151823579304, 'eval_accuracy': 0.9802466756600501, 'eval_runtime': 2.9065, 'eval_samples_per_second': 112.163, 'eval_steps_per_second': 3.785, 'epoch': 1.0}
|
| 33 |
+
{'loss': 0.1071, 'grad_norm': 1.1867393255233765, 'learning_rate': 1.32579185520362e-05, 'epoch': 1.22}
|
| 34 |
+
{'loss': 0.1027, 'grad_norm': 1.172904133796692, 'learning_rate': 1.0995475113122173e-05, 'epoch': 1.52}
|
| 35 |
+
{'loss': 0.0789, 'grad_norm': 3.011417865753174, 'learning_rate': 8.733031674208145e-06, 'epoch': 1.83}
|
| 36 |
+
Processing Files (3 / 3) : 100% 709M/709M [00:05<00:00, 126MB/s, 131MB/s ]
|
| 37 |
+
{'eval_loss': 0.04031597822904587, 'eval_precision': 0.935374149659864, 'eval_recall': 0.9401709401709402, 'eval_f1': 0.937766410912191, 'eval_accuracy': 0.9896897282713433, 'eval_runtime': 2.7197, 'eval_samples_per_second': 119.867, 'eval_steps_per_second': 4.045, 'epoch': 2.0}
|
| 38 |
+
{'loss': 0.0632, 'grad_norm': 1.8443704843521118, 'learning_rate': 6.470588235294119e-06, 'epoch': 2.13}
|
| 39 |
+
{'loss': 0.0463, 'grad_norm': 1.2871953248977661, 'learning_rate': 4.208144796380091e-06, 'epoch': 2.44}
|
| 40 |
+
{'loss': 0.054, 'grad_norm': 2.695483684539795, 'learning_rate': 1.9457013574660634e-06, 'epoch': 2.74}
|
| 41 |
+
{'eval_loss': 0.04117187485098839, 'eval_precision': 0.9366980325064157, 'eval_recall': 0.9358974358974359, 'eval_f1': 0.9362975630611372, 'eval_accuracy': 0.9890152245133937, 'eval_runtime': 2.4944, 'eval_samples_per_second': 130.691, 'eval_steps_per_second': 4.41, 'epoch': 3.0}
|
| 42 |
+
{'train_runtime': 196.1277, 'train_samples_per_second': 39.908, 'train_steps_per_second': 2.509, 'train_loss': 0.20365032820197626, 'epoch': 3.0}
|
| 43 |
+
New Data Upload : 100% 15.3k/15.3k [00:05<00:00, 2.72kB/s, 2.83kB/s ]
|
| 44 |
+
...l-data2/model.safetensors: 100% 709M/709M [00:04<00:00, 141MB/s]
|
| 45 |
+
...28047.f0da10c9a12b.1796.0: 100% 9.33k/9.33k [00:00<?, ?B/s]
|
| 46 |
+
...l-data2/training_args.bin: 100% 5.97k/5.97k [00:00<?, ?B/s]
|
| 47 |
+
Processing Files (3 / 3) : 100% 709M/709M [00:04<00:00, 154MB/s, 154MB/s ]
|
| 48 |
+
New Data Upload : | | 0.00B / 0.00B, 0.00B/s
|
| 49 |
+
...28047.f0da10c9a12b.1796.0: 100% 9.33k/9.33k [00:04<?, ?B/s]
|
| 50 |
+
...l-data2/training_args.bin: 100% 5.97k/5.97k [00:04<?, ?B/s]
|
| 51 |
+
...l-data2/model.safetensors: 100% 709M/709M [00:04<00:00, 153MB/s]
|
| 52 |
+
No files have been modified since last commit. Skipping to prevent empty commit.
|
| 53 |
+
WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.
|
| 54 |
+
***** train metrics *****
|
| 55 |
+
epoch = 3.0
|
| 56 |
+
total_flos = 320193GF
|
| 57 |
+
train_loss = 0.2037
|
| 58 |
+
train_runtime = 0:03:16.12
|
| 59 |
+
train_samples_per_second = 39.908
|
| 60 |
+
train_steps_per_second = 2.509
|
| 61 |
+
100% 11/11 [00:02<00:00, 4.73it/s]
|
| 62 |
+
***** eval metrics *****
|
| 63 |
+
epoch = 3.0
|
| 64 |
+
eval_accuracy = 0.9897
|
| 65 |
+
eval_f1 = 0.9378
|
| 66 |
+
eval_loss = 0.0403
|
| 67 |
+
eval_precision = 0.9354
|
| 68 |
+
eval_recall = 0.9402
|
| 69 |
+
eval_runtime = 0:00:02.49
|
| 70 |
+
eval_samples_per_second = 130.543
|
| 71 |
+
eval_steps_per_second = 4.405
|
| 72 |
+
91% 10/11 [00:01<00:00, 6.36it/s]early stopping required metric_for_best_model, but did not find eval_f1 so early stopping is disabled
|
| 73 |
+
100% 11/11 [00:02<00:00, 4.72it/s]
|
| 74 |
+
***** test metrics *****
|
| 75 |
+
epoch = 3.0
|
| 76 |
+
test_accuracy = 0.9742
|
| 77 |
+
test_f1 = 0.9105
|
| 78 |
+
test_loss = 0.0997
|
| 79 |
+
test_precision = 0.909
|
| 80 |
+
test_recall = 0.912
|
| 81 |
+
test_runtime = 0:00:02.49
|
| 82 |
+
test_samples_per_second = 131.12
|
| 83 |
+
test_steps_per_second = 4.411
|
wandb_logs/run-20251122_161333-76f9jnsn/files/requirements.txt
ADDED
|
@@ -0,0 +1,698 @@
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|
| 1 |
+
setuptools==75.2.0
|
| 2 |
+
pip==24.1.2
|
| 3 |
+
requirements-parser==0.9.0
|
| 4 |
+
types-setuptools==80.9.0.20250822
|
| 5 |
+
ipykernel==7.1.0
|
| 6 |
+
tensorboard==2.20.0
|
| 7 |
+
numpy==2.3.5
|
| 8 |
+
pyarrow==22.0.0
|
| 9 |
+
matplotlib==3.10.7
|
| 10 |
+
widgetsnbextension==4.0.15
|
| 11 |
+
seqeval==1.2.2
|
| 12 |
+
ipywidgets==8.1.8
|
| 13 |
+
datasets==4.4.1
|
| 14 |
+
pandas==2.3.3
|
| 15 |
+
comm==0.2.3
|
| 16 |
+
google-genai==1.50.1
|
| 17 |
+
scikit-learn==1.7.2
|
| 18 |
+
evaluate==0.4.6
|
| 19 |
+
jedi==0.19.2
|
| 20 |
+
jupyter_client==8.6.3
|
| 21 |
+
google-colab==1.0.0
|
| 22 |
+
httpcore==1.0.9
|
| 23 |
+
colorlover==0.3.0
|
| 24 |
+
pyOpenSSL==24.2.1
|
| 25 |
+
PySocks==1.7.1
|
| 26 |
+
fsspec==2025.3.0
|
| 27 |
+
google-ai-generativelanguage==0.6.15
|
| 28 |
+
dlib==19.24.6
|
| 29 |
+
fastdownload==0.0.7
|
| 30 |
+
jaxlib==0.7.2
|
| 31 |
+
python-multipart==0.0.20
|
| 32 |
+
nltk==3.9.1
|
| 33 |
+
chardet==5.2.0
|
| 34 |
+
pyparsing==3.2.5
|
| 35 |
+
sentry-sdk==2.45.0
|
| 36 |
+
audioread==3.1.0
|
| 37 |
+
langchain-core==0.3.80
|
| 38 |
+
jaraco.classes==3.4.0
|
| 39 |
+
cymem==2.0.13
|
| 40 |
+
vega-datasets==0.9.0
|
| 41 |
+
docstring_parser==0.17.0
|
| 42 |
+
nest-asyncio==1.6.0
|
| 43 |
+
mlxtend==0.23.4
|
| 44 |
+
xyzservices==2025.10.0
|
| 45 |
+
more-itertools==10.8.0
|
| 46 |
+
torchao==0.10.0
|
| 47 |
+
numba==0.60.0
|
| 48 |
+
panel==1.8.3
|
| 49 |
+
docutils==0.21.2
|
| 50 |
+
holoviews==1.22.0
|
| 51 |
+
attrs==25.4.0
|
| 52 |
+
db-dtypes==1.4.4
|
| 53 |
+
tabulate==0.9.0
|
| 54 |
+
pydotplus==2.0.2
|
| 55 |
+
soundfile==0.13.1
|
| 56 |
+
sklearn-pandas==2.2.0
|
| 57 |
+
multitasking==0.0.12
|
| 58 |
+
glob2==0.7
|
| 59 |
+
nvidia-cusolver-cu12==11.7.1.2
|
| 60 |
+
google-adk==1.17.0
|
| 61 |
+
alabaster==1.0.0
|
| 62 |
+
mdit-py-plugins==0.5.0
|
| 63 |
+
intel-cmplr-lib-ur==2025.3.1
|
| 64 |
+
nvidia-cufft-cu12==11.3.0.4
|
| 65 |
+
google-cloud-bigquery-connection==1.19.0
|
| 66 |
+
polars==1.31.0
|
| 67 |
+
openai==1.109.1
|
| 68 |
+
google-cloud-spanner==3.59.0
|
| 69 |
+
patsy==1.0.2
|
| 70 |
+
pytest==8.4.2
|
| 71 |
+
pycparser==2.23
|
| 72 |
+
curl_cffi==0.13.0
|
| 73 |
+
linkify-it-py==2.0.3
|
| 74 |
+
imutils==0.5.4
|
| 75 |
+
Markdown==3.10
|
| 76 |
+
pandas-stubs==2.2.2.240909
|
| 77 |
+
pooch==1.8.2
|
| 78 |
+
pandas-gbq==0.30.0
|
| 79 |
+
google-cloud-dataproc==5.23.0
|
| 80 |
+
google-cloud-language==2.18.0
|
| 81 |
+
jupyter_kernel_gateway==2.5.2
|
| 82 |
+
google-resumable-media==2.8.0
|
| 83 |
+
nvidia-cuda-runtime-cu12==12.6.77
|
| 84 |
+
dask-cudf-cu12==25.10.0
|
| 85 |
+
websocket-client==1.9.0
|
| 86 |
+
distributed-ucxx-cu12==0.46.0
|
| 87 |
+
altair==5.5.0
|
| 88 |
+
idna==3.11
|
| 89 |
+
wandb==0.23.0
|
| 90 |
+
moviepy==1.0.3
|
| 91 |
+
click==8.3.1
|
| 92 |
+
oauth2client==4.1.3
|
| 93 |
+
GDAL==3.8.4
|
| 94 |
+
mcp==1.21.2
|
| 95 |
+
pyzmq==26.2.1
|
| 96 |
+
langsmith==0.4.43
|
| 97 |
+
sqlparse==0.5.3
|
| 98 |
+
betterproto==2.0.0b6
|
| 99 |
+
parso==0.8.5
|
| 100 |
+
imbalanced-learn==0.14.0
|
| 101 |
+
tbb==2022.3.0
|
| 102 |
+
dm-tree==0.1.9
|
| 103 |
+
cuda-python==12.9.4
|
| 104 |
+
pygit2==1.19.0
|
| 105 |
+
proglog==0.1.12
|
| 106 |
+
fastjsonschema==2.21.2
|
| 107 |
+
tornado==6.5.1
|
| 108 |
+
matplotlib-venn==1.1.2
|
| 109 |
+
Authlib==1.6.5
|
| 110 |
+
cryptography==43.0.3
|
| 111 |
+
snowballstemmer==3.0.1
|
| 112 |
+
networkx==3.5
|
| 113 |
+
nvidia-cublas-cu12==12.6.4.1
|
| 114 |
+
wcwidth==0.2.14
|
| 115 |
+
dopamine_rl==4.1.2
|
| 116 |
+
blobfile==3.1.0
|
| 117 |
+
simple-parsing==0.1.7
|
| 118 |
+
pylibcugraph-cu12==25.10.1
|
| 119 |
+
sentence-transformers==5.1.2
|
| 120 |
+
jsonpatch==1.33
|
| 121 |
+
webencodings==0.5.1
|
| 122 |
+
zict==3.0.0
|
| 123 |
+
google-cloud-bigquery-storage==2.34.0
|
| 124 |
+
sphinxcontrib-serializinghtml==2.0.0
|
| 125 |
+
uc-micro-py==1.0.3
|
| 126 |
+
rfc3987-syntax==1.1.0
|
| 127 |
+
itsdangerous==2.2.0
|
| 128 |
+
peft==0.18.0
|
| 129 |
+
gspread-dataframe==4.0.0
|
| 130 |
+
pydot==3.0.4
|
| 131 |
+
pydantic_core==2.33.2
|
| 132 |
+
oauthlib==3.3.1
|
| 133 |
+
google-cloud-bigquery==3.38.0
|
| 134 |
+
geopy==2.4.1
|
| 135 |
+
rmm-cu12==25.10.0
|
| 136 |
+
distributed==2025.9.1
|
| 137 |
+
pandocfilters==1.5.1
|
| 138 |
+
llvmlite==0.43.0
|
| 139 |
+
torchaudio==2.9.0+cu126
|
| 140 |
+
hdbscan==0.8.40
|
| 141 |
+
safetensors==0.7.0
|
| 142 |
+
et_xmlfile==2.0.0
|
| 143 |
+
numexpr==2.14.1
|
| 144 |
+
scs==3.2.9
|
| 145 |
+
importlib_resources==6.5.2
|
| 146 |
+
pyogrio==0.11.1
|
| 147 |
+
rapids-logger==0.1.19
|
| 148 |
+
google==2.0.3
|
| 149 |
+
blinker==1.9.0
|
| 150 |
+
colour==0.1.5
|
| 151 |
+
lightgbm==4.6.0
|
| 152 |
+
pylibraft-cu12==25.10.0
|
| 153 |
+
autograd==1.8.0
|
| 154 |
+
duckdb==1.3.2
|
| 155 |
+
typing_extensions==4.15.0
|
| 156 |
+
protobuf==5.29.5
|
| 157 |
+
argon2-cffi==25.1.0
|
| 158 |
+
Bottleneck==1.4.2
|
| 159 |
+
libucxx-cu12==0.46.0
|
| 160 |
+
libcugraph-cu12==25.10.1
|
| 161 |
+
huggingface-hub==0.36.0
|
| 162 |
+
fastapi==0.121.3
|
| 163 |
+
mistune==3.1.4
|
| 164 |
+
pyspark==3.5.1
|
| 165 |
+
ibis-framework==9.5.0
|
| 166 |
+
tqdm==4.67.1
|
| 167 |
+
seaborn==0.13.2
|
| 168 |
+
mdurl==0.1.2
|
| 169 |
+
stumpy==1.13.0
|
| 170 |
+
python-dotenv==1.2.1
|
| 171 |
+
psygnal==0.15.0
|
| 172 |
+
music21==9.3.0
|
| 173 |
+
Farama-Notifications==0.0.4
|
| 174 |
+
jsonschema-specifications==2025.9.1
|
| 175 |
+
xxhash==3.6.0
|
| 176 |
+
confection==0.1.5
|
| 177 |
+
treelite==4.4.1
|
| 178 |
+
httpimport==1.4.1
|
| 179 |
+
libpysal==4.13.0
|
| 180 |
+
cramjam==2.11.0
|
| 181 |
+
google-cloud-functions==1.21.0
|
| 182 |
+
grpcio-status==1.71.2
|
| 183 |
+
torchsummary==1.5.1
|
| 184 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 185 |
+
libucx-cu12==1.19.0
|
| 186 |
+
geopandas==1.1.1
|
| 187 |
+
toml==0.10.2
|
| 188 |
+
shapely==2.1.2
|
| 189 |
+
html5lib==1.1
|
| 190 |
+
antlr4-python3-runtime==4.9.3
|
| 191 |
+
clarabel==0.11.1
|
| 192 |
+
uvicorn==0.38.0
|
| 193 |
+
toolz==0.12.1
|
| 194 |
+
cloudpathlib==0.23.0
|
| 195 |
+
cupy-cuda12x==13.6.0
|
| 196 |
+
fastai==2.8.5
|
| 197 |
+
peewee==3.18.3
|
| 198 |
+
GitPython==3.1.45
|
| 199 |
+
aiohappyeyeballs==2.6.1
|
| 200 |
+
murmurhash==1.0.15
|
| 201 |
+
jax-cuda12-plugin==0.7.2
|
| 202 |
+
pyperclip==1.11.0
|
| 203 |
+
promise==2.3
|
| 204 |
+
jupyter_server==2.14.0
|
| 205 |
+
webcolors==25.10.0
|
| 206 |
+
imagesize==1.4.1
|
| 207 |
+
prettytable==3.17.0
|
| 208 |
+
alembic==1.17.2
|
| 209 |
+
progressbar2==4.5.0
|
| 210 |
+
requests==2.32.4
|
| 211 |
+
nvidia-ml-py==13.580.82
|
| 212 |
+
humanize==4.14.0
|
| 213 |
+
umap-learn==0.5.9.post2
|
| 214 |
+
h5netcdf==1.7.3
|
| 215 |
+
PyGObject==3.42.0
|
| 216 |
+
google-cloud-aiplatform==1.128.0
|
| 217 |
+
flatbuffers==25.9.23
|
| 218 |
+
optax==0.2.6
|
| 219 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
| 220 |
+
nx-cugraph-cu12==25.10.0
|
| 221 |
+
lark==1.3.1
|
| 222 |
+
tenacity==8.5.0
|
| 223 |
+
entrypoints==0.4
|
| 224 |
+
prompt_toolkit==3.0.52
|
| 225 |
+
fonttools==4.60.1
|
| 226 |
+
ffmpy==1.0.0
|
| 227 |
+
google-cloud-core==2.5.0
|
| 228 |
+
matplotlib-inline==0.2.1
|
| 229 |
+
sphinxcontrib-jsmath==1.0.1
|
| 230 |
+
ply==3.11
|
| 231 |
+
tweepy==4.16.0
|
| 232 |
+
en_core_web_sm==3.8.0
|
| 233 |
+
google-crc32c==1.7.1
|
| 234 |
+
libcudf-cu12==25.10.0
|
| 235 |
+
ipytree==0.2.2
|
| 236 |
+
ImageIO==2.37.2
|
| 237 |
+
rfc3339-validator==0.1.4
|
| 238 |
+
keras==3.10.0
|
| 239 |
+
opt_einsum==3.4.0
|
| 240 |
+
jupyter_server_terminals==0.5.3
|
| 241 |
+
rpds-py==0.29.0
|
| 242 |
+
threadpoolctl==3.6.0
|
| 243 |
+
urllib3==2.5.0
|
| 244 |
+
kagglehub==0.3.13
|
| 245 |
+
Flask==3.1.2
|
| 246 |
+
easydict==1.13
|
| 247 |
+
grpcio==1.76.0
|
| 248 |
+
ratelim==0.1.6
|
| 249 |
+
logical-unification==0.4.7
|
| 250 |
+
omegaconf==2.3.0
|
| 251 |
+
roman-numerals-py==3.1.0
|
| 252 |
+
dataproc-spark-connect==0.8.3
|
| 253 |
+
langchain-text-splitters==0.3.11
|
| 254 |
+
tinycss2==1.4.0
|
| 255 |
+
python-json-logger==4.0.0
|
| 256 |
+
scikit-image==0.25.2
|
| 257 |
+
highspy==1.12.0
|
| 258 |
+
tf-slim==1.1.0
|
| 259 |
+
torchtune==0.6.1
|
| 260 |
+
jupyter-console==6.6.3
|
| 261 |
+
spanner-graph-notebook==1.1.8
|
| 262 |
+
dill==0.3.8
|
| 263 |
+
tensorboard-data-server==0.7.2
|
| 264 |
+
slicer==0.0.8
|
| 265 |
+
keyring==25.7.0
|
| 266 |
+
arviz==0.22.0
|
| 267 |
+
sympy==1.13.3
|
| 268 |
+
google-cloud-resource-manager==1.15.0
|
| 269 |
+
traittypes==0.2.3
|
| 270 |
+
typer-slim==0.20.0
|
| 271 |
+
annotated-doc==0.0.4
|
| 272 |
+
hf-xet==1.2.0
|
| 273 |
+
dask-cuda==25.10.0
|
| 274 |
+
pymc==5.26.1
|
| 275 |
+
pynndescent==0.5.13
|
| 276 |
+
stanio==0.5.1
|
| 277 |
+
treescope==0.1.10
|
| 278 |
+
optree==0.18.0
|
| 279 |
+
propcache==0.4.1
|
| 280 |
+
rich==13.9.4
|
| 281 |
+
gcsfs==2025.3.0
|
| 282 |
+
torch==2.9.0+cu126
|
| 283 |
+
MarkupSafe==3.0.3
|
| 284 |
+
tzlocal==5.3.1
|
| 285 |
+
google-cloud-secret-manager==2.25.0
|
| 286 |
+
atpublic==5.1
|
| 287 |
+
gitdb==4.0.12
|
| 288 |
+
ruff==0.14.5
|
| 289 |
+
opentelemetry-exporter-gcp-monitoring==1.11.0a0
|
| 290 |
+
grpc-interceptor==0.15.4
|
| 291 |
+
opentelemetry-exporter-gcp-logging==1.11.0a0
|
| 292 |
+
fqdn==1.5.1
|
| 293 |
+
soxr==1.0.0
|
| 294 |
+
hf_transfer==0.1.9
|
| 295 |
+
pyasn1==0.6.1
|
| 296 |
+
geemap==0.35.3
|
| 297 |
+
regex==2024.11.6
|
| 298 |
+
ipython-sql==0.5.0
|
| 299 |
+
pyviz_comms==3.0.6
|
| 300 |
+
pydub==0.25.1
|
| 301 |
+
geographiclib==2.1
|
| 302 |
+
Jinja2==3.1.6
|
| 303 |
+
ipython-genutils==0.2.0
|
| 304 |
+
multiprocess==0.70.16
|
| 305 |
+
h11==0.16.0
|
| 306 |
+
tables==3.10.2
|
| 307 |
+
tensorflow-text==2.19.0
|
| 308 |
+
bokeh==3.7.3
|
| 309 |
+
opentelemetry-resourcedetector-gcp==1.11.0a0
|
| 310 |
+
beautifulsoup4==4.13.5
|
| 311 |
+
filelock==3.20.0
|
| 312 |
+
catalogue==2.0.10
|
| 313 |
+
fasttransform==0.0.2
|
| 314 |
+
typeguard==4.4.4
|
| 315 |
+
openpyxl==3.1.5
|
| 316 |
+
tokenizers==0.22.1
|
| 317 |
+
plotly==5.24.1
|
| 318 |
+
ucxx-cu12==0.46.0
|
| 319 |
+
branca==0.8.2
|
| 320 |
+
overrides==7.7.0
|
| 321 |
+
cuda-core==0.3.2
|
| 322 |
+
tensorflow-probability==0.25.0
|
| 323 |
+
xarray-einstats==0.9.1
|
| 324 |
+
tf_keras==2.19.0
|
| 325 |
+
referencing==0.37.0
|
| 326 |
+
argon2-cffi-bindings==25.1.0
|
| 327 |
+
librmm-cu12==25.10.0
|
| 328 |
+
nvidia-cusparse-cu12==12.5.4.2
|
| 329 |
+
google-cloud-discoveryengine==0.13.12
|
| 330 |
+
xgboost==3.1.1
|
| 331 |
+
diffusers==0.35.2
|
| 332 |
+
timm==1.0.22
|
| 333 |
+
PyDrive2==1.21.3
|
| 334 |
+
tblib==3.2.2
|
| 335 |
+
scooby==0.11.0
|
| 336 |
+
opencv-python-headless==4.12.0.88
|
| 337 |
+
wheel==0.45.1
|
| 338 |
+
firebase-admin==6.9.0
|
| 339 |
+
shap==0.50.0
|
| 340 |
+
jsonpointer==3.0.0
|
| 341 |
+
python-louvain==0.16
|
| 342 |
+
charset-normalizer==3.4.4
|
| 343 |
+
sqlglot==25.20.2
|
| 344 |
+
jsonschema==4.25.1
|
| 345 |
+
jieba==0.42.1
|
| 346 |
+
importlib_metadata==8.7.0
|
| 347 |
+
nvidia-cuda-nvrtc-cu12==12.6.77
|
| 348 |
+
editdistance==0.8.1
|
| 349 |
+
jax==0.7.2
|
| 350 |
+
google-api-core==2.28.1
|
| 351 |
+
shellingham==1.5.4
|
| 352 |
+
portpicker==1.5.2
|
| 353 |
+
cudf-cu12==25.10.0
|
| 354 |
+
gspread==6.2.1
|
| 355 |
+
pylibcudf-cu12==25.10.0
|
| 356 |
+
python-slugify==8.0.4
|
| 357 |
+
anywidget==0.9.21
|
| 358 |
+
distro==1.9.0
|
| 359 |
+
stringzilla==4.2.3
|
| 360 |
+
libcuml-cu12==25.10.0
|
| 361 |
+
graphviz==0.21
|
| 362 |
+
ipython==7.34.0
|
| 363 |
+
hyperopt==0.2.7
|
| 364 |
+
sniffio==1.3.1
|
| 365 |
+
python-utils==3.9.1
|
| 366 |
+
bigframes==2.29.1
|
| 367 |
+
folium==0.20.0
|
| 368 |
+
google-cloud-bigtable==2.34.0
|
| 369 |
+
text-unidecode==1.3
|
| 370 |
+
pydantic-settings==2.12.0
|
| 371 |
+
annotated-types==0.7.0
|
| 372 |
+
locket==1.0.0
|
| 373 |
+
pyproj==3.7.2
|
| 374 |
+
orbax-checkpoint==0.11.28
|
| 375 |
+
PyJWT==2.10.1
|
| 376 |
+
natsort==8.4.0
|
| 377 |
+
astropy-iers-data==0.2025.11.10.0.38.31
|
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gym-notices==0.1.0
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weasel==0.4.3
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PyOpenGL==3.1.10
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pydata-google-auth==1.9.1
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semantic-version==2.10.0
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google-cloud-firestore==2.21.0
|
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statsmodels==0.14.5
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google-auth-httplib2==0.2.1
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uri-template==1.3.0
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gradio==5.49.1
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websockets==15.0.1
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bigquery-magics==0.10.3
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nvidia-cuda-nvcc-cu12==12.5.82
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etils==1.13.0
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cufflinks==0.17.3
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ale-py==0.11.2
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keras-nlp==0.21.1
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tensorflow-hub==0.16.1
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yfinance==0.2.66
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googleapis-common-protos==1.72.0
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tensorflow==2.19.0
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future==1.0.0
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google-cloud-audit-log==0.4.0
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google-auth-oauthlib==1.2.3
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namex==0.1.0
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scipy==1.16.3
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nvidia-curand-cu12==10.3.7.77
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python-dateutil==2.9.0.post0
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librosa==0.11.0
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ptyprocess==0.7.0
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nvtx==0.2.13
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nvidia-cufile-cu12==1.11.1.6
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plum-dispatch==2.6.0
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kiwisolver==1.4.9
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ipyleaflet==0.20.0
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jaraco.functools==4.3.0
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terminado==0.18.1
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tensorflow_decision_forests==1.12.0
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Send2Trash==1.8.3
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flax==0.10.7
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PyWavelets==1.9.0
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tiktoken==0.12.0
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typer==0.20.0
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plotnine==0.14.5
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sphinxcontrib-devhelp==2.0.0
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google-cloud-datastore==2.21.0
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torchdata==0.11.0
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bqplot==0.12.45
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missingno==0.5.2
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nvidia-cudnn-cu12==9.10.2.21
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param==2.3.0
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tensorstore==0.1.79
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ipyfilechooser==0.6.0
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httplib2==0.31.0
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h2==4.3.0
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nvidia-nccl-cu12==2.27.5
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typing-inspection==0.4.2
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tensorflow-metadata==1.17.2
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hyperframe==6.1.0
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cuda-bindings==12.9.4
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langchain==0.3.27
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google-cloud-appengine-logging==1.7.0
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rsa==4.9.1
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tomlkit==0.13.3
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blis==1.3.3
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opentelemetry-sdk==1.37.0
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kaggle==1.7.4.5
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tcmlib==1.4.1
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holidays==0.85
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multidict==6.7.0
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accelerate==1.11.0
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pyerfa==2.0.1.5
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babel==2.17.0
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google-api-python-client==2.187.0
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cffi==2.0.0
|
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soupsieve==2.8
|
| 551 |
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opencv-python==4.12.0.88
|
| 552 |
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rapids-dask-dependency==25.10.0
|
| 553 |
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chex==0.1.90
|
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google-cloud-translate==3.23.0
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python-snappy==0.7.3
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xarray==2025.11.0
|
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pillow==11.3.0
|
| 558 |
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uritemplate==4.2.0
|
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Cython==3.0.12
|
| 560 |
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tensorflow-datasets==4.9.9
|
| 561 |
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mkl==2025.2.0
|
| 562 |
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cvxpy==1.6.7
|
| 563 |
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spacy-loggers==1.0.5
|
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keyrings.google-artifactregistry-auth==1.1.2
|
| 565 |
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spacy-legacy==3.0.12
|
| 566 |
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fastrlock==0.8.3
|
| 567 |
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aiosignal==1.4.0
|
| 568 |
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osqp==1.0.5
|
| 569 |
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astunparse==1.6.3
|
| 570 |
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py-cpuinfo==9.0.0
|
| 571 |
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nbclassic==1.3.3
|
| 572 |
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pycryptodomex==3.23.0
|
| 573 |
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anyio==4.11.0
|
| 574 |
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ydf==0.13.0
|
| 575 |
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parsy==2.2
|
| 576 |
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einops==0.8.1
|
| 577 |
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iniconfig==2.3.0
|
| 578 |
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cycler==0.12.1
|
| 579 |
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h5py==3.15.1
|
| 580 |
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libclang==18.1.1
|
| 581 |
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gdown==5.2.0
|
| 582 |
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wasabi==1.1.3
|
| 583 |
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httpx==0.28.1
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| 584 |
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termcolor==3.2.0
|
| 585 |
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umf==1.0.2
|
| 586 |
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mizani==0.13.5
|
| 587 |
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astropy==7.1.1
|
| 588 |
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opentelemetry-exporter-gcp-trace==1.11.0
|
| 589 |
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pandas-datareader==0.10.0
|
| 590 |
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nvidia-nvjitlink-cu12==12.6.85
|
| 591 |
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pickleshare==0.7.5
|
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community==1.0.0b1
|
| 593 |
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prophet==1.1.7
|
| 594 |
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jupyterlab_pygments==0.3.0
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| 595 |
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requests-toolbelt==1.0.0
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gradio_client==1.13.3
|
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pydantic==2.11.10
|
| 598 |
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google-cloud-logging==3.12.1
|
| 599 |
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google-cloud-storage==2.19.0
|
| 600 |
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intel-openmp==2025.3.1
|
| 601 |
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tifffile==2025.10.16
|
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colorcet==3.1.0
|
| 603 |
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google-cloud-speech==2.34.0
|
| 604 |
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notebook_shim==0.2.4
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| 605 |
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xlrd==2.0.2
|
| 606 |
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httpx-sse==0.4.3
|
| 607 |
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backcall==0.2.0
|
| 608 |
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blosc2==3.11.1
|
| 609 |
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sortedcontainers==2.4.0
|
| 610 |
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opentelemetry-exporter-otlp-proto-common==1.37.0
|
| 611 |
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sentencepiece==0.2.1
|
| 612 |
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six==1.17.0
|
| 613 |
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google-pasta==0.2.0
|
| 614 |
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sphinxcontrib-htmlhelp==2.1.0
|
| 615 |
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zipp==3.23.0
|
| 616 |
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jupyter-leaflet==0.20.0
|
| 617 |
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jeepney==0.9.0
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| 618 |
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cons==0.4.7
|
| 619 |
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markdown-it-py==4.0.0
|
| 620 |
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wordcloud==1.9.4
|
| 621 |
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opencv-contrib-python==4.12.0.88
|
| 622 |
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opentelemetry-exporter-otlp-proto-http==1.37.0
|
| 623 |
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absolufy-imports==0.3.1
|
| 624 |
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psycopg2==2.9.11
|
| 625 |
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groovy==0.1.2
|
| 626 |
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CacheControl==0.14.4
|
| 627 |
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arrow==1.4.0
|
| 628 |
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ipyevents==2.0.4
|
| 629 |
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tzdata==2025.2
|
| 630 |
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nvidia-nvtx-cu12==12.6.77
|
| 631 |
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Sphinx==8.2.3
|
| 632 |
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tsfresh==0.21.1
|
| 633 |
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jupyter-events==0.12.0
|
| 634 |
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partd==1.4.2
|
| 635 |
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platformdirs==4.5.0
|
| 636 |
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SecretStorage==3.4.1
|
| 637 |
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narwhals==2.12.0
|
| 638 |
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sqlalchemy-spanner==1.17.1
|
| 639 |
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watchdog==6.0.0
|
| 640 |
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nbconvert==7.16.6
|
| 641 |
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google-cloud-trace==1.17.0
|
| 642 |
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cuda-pathfinder==1.3.2
|
| 643 |
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proto-plus==1.26.1
|
| 644 |
+
notebook==6.5.7
|
| 645 |
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fastcore==1.8.16
|
| 646 |
+
pluggy==1.6.0
|
| 647 |
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etuples==0.3.10
|
| 648 |
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gast==0.6.0
|
| 649 |
+
PyYAML==6.0.3
|
| 650 |
+
opentelemetry-semantic-conventions==0.58b0
|
| 651 |
+
ml_dtypes==0.5.4
|
| 652 |
+
google-cloud-monitoring==2.28.0
|
| 653 |
+
pyasn1_modules==0.4.2
|
| 654 |
+
cvxopt==1.3.2
|
| 655 |
+
contourpy==1.3.3
|
| 656 |
+
gin-config==0.5.0
|
| 657 |
+
certifi==2025.11.12
|
| 658 |
+
jsonpickle==4.1.1
|
| 659 |
+
wrapt==2.0.1
|
| 660 |
+
keras-hub==0.21.1
|
| 661 |
+
torchvision==0.24.0+cu126
|
| 662 |
+
yarl==1.22.0
|
| 663 |
+
jupyterlab_widgets==3.0.16
|
| 664 |
+
py4j==0.10.9.7
|
| 665 |
+
Pygments==2.19.2
|
| 666 |
+
python-box==7.3.2
|
| 667 |
+
albucore==0.0.24
|
| 668 |
+
nvidia-cuda-cccl-cu12==12.9.27
|
| 669 |
+
jax-cuda12-pjrt==0.7.2
|
| 670 |
+
fastprogress==1.0.3
|
| 671 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 672 |
+
geocoder==1.38.1
|
| 673 |
+
cudf-polars-cu12==25.10.0
|
| 674 |
+
python-apt==0.0.0
|
| 675 |
+
httplib2==0.20.2
|
| 676 |
+
more-itertools==8.10.0
|
| 677 |
+
oauthlib==3.2.0
|
| 678 |
+
pyparsing==2.4.7
|
| 679 |
+
PyGObject==3.42.1
|
| 680 |
+
lazr.restfulclient==0.14.4
|
| 681 |
+
lazr.uri==1.0.6
|
| 682 |
+
PyJWT==2.3.0
|
| 683 |
+
blinker==1.4
|
| 684 |
+
python-apt==2.4.0+ubuntu4
|
| 685 |
+
launchpadlib==1.10.16
|
| 686 |
+
six==1.16.0
|
| 687 |
+
zipp==1.0.0
|
| 688 |
+
importlib-metadata==4.6.4
|
| 689 |
+
dbus-python==1.2.18
|
| 690 |
+
wadllib==1.3.6
|
| 691 |
+
cryptography==3.4.8
|
| 692 |
+
distro==1.7.0
|
| 693 |
+
keyring==23.5.0
|
| 694 |
+
SecretStorage==3.3.1
|
| 695 |
+
jeepney==0.7.1
|
| 696 |
+
Markdown==3.3.6
|
| 697 |
+
Mako==1.1.3
|
| 698 |
+
MarkupSafe==2.0.1
|
wandb_logs/run-20251122_161333-76f9jnsn/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.6.105+-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.12.12",
|
| 4 |
+
"startedAt": "2025-11-22T16:13:33.410421Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"configs/bert_data2.json"
|
| 7 |
+
],
|
| 8 |
+
"program": "/content/code-switch-identification-model/train.py",
|
| 9 |
+
"codePath": "train.py",
|
| 10 |
+
"codePathLocal": "train.py",
|
| 11 |
+
"git": {
|
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: bert-base-multilingual-cased
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.23.0
|
| 6 |
+
e:
|
| 7 |
+
i8buzorts1ot7g0apehzlb5qg4vk4nic:
|
| 8 |
+
args:
|
| 9 |
+
- configs/bert_data3.json
|
| 10 |
+
codePath: train.py
|
| 11 |
+
codePathLocal: train.py
|
| 12 |
+
cpu_count: 1
|
| 13 |
+
cpu_count_logical: 2
|
| 14 |
+
cudaVersion: "12.4"
|
| 15 |
+
disk:
|
| 16 |
+
/:
|
| 17 |
+
total: "120942624768"
|
| 18 |
+
used: "49258479616"
|
| 19 |
+
email: [email protected]
|
| 20 |
+
executable: /usr/bin/python3
|
| 21 |
+
git:
|
| 22 |
+
commit: de0702477fe9412790ab872e2d1361a32e068b2d
|
| 23 |
+
remote: https://h3110Fr13nd:@github.com/h3110Fr13nd/code-switch-identification-model.git
|
| 24 |
+
gpu: Tesla T4
|
| 25 |
+
gpu_count: 1
|
| 26 |
+
gpu_nvidia:
|
| 27 |
+
- architecture: Turing
|
| 28 |
+
cudaCores: 2560
|
| 29 |
+
memoryTotal: "16106127360"
|
| 30 |
+
name: Tesla T4
|
| 31 |
+
uuid: GPU-d740f133-e3a8-f36c-28a2-52b7659451f1
|
| 32 |
+
host: f0da10c9a12b
|
| 33 |
+
memory:
|
| 34 |
+
total: "13605842944"
|
| 35 |
+
os: Linux-6.6.105+-x86_64-with-glibc2.35
|
| 36 |
+
program: /content/code-switch-identification-model/train.py
|
| 37 |
+
python: CPython 3.12.12
|
| 38 |
+
root: /content/code-switch-identification-model
|
| 39 |
+
startedAt: "2025-11-22T16:20:12.394707Z"
|
| 40 |
+
writerId: i8buzorts1ot7g0apehzlb5qg4vk4nic
|
| 41 |
+
m:
|
| 42 |
+
- "1": train/global_step
|
| 43 |
+
"6":
|
| 44 |
+
- 3
|
| 45 |
+
"7": []
|
| 46 |
+
- "2": '*'
|
| 47 |
+
"5": 1
|
| 48 |
+
"6":
|
| 49 |
+
- 1
|
| 50 |
+
"7": []
|
| 51 |
+
python_version: 3.12.12
|
| 52 |
+
t:
|
| 53 |
+
"1":
|
| 54 |
+
- 1
|
| 55 |
+
- 2
|
| 56 |
+
- 3
|
| 57 |
+
- 5
|
| 58 |
+
- 11
|
| 59 |
+
- 12
|
| 60 |
+
- 41
|
| 61 |
+
- 49
|
| 62 |
+
- 51
|
| 63 |
+
- 53
|
| 64 |
+
- 71
|
| 65 |
+
- 98
|
| 66 |
+
- 100
|
| 67 |
+
- 105
|
| 68 |
+
"2":
|
| 69 |
+
- 1
|
| 70 |
+
- 2
|
| 71 |
+
- 3
|
| 72 |
+
- 5
|
| 73 |
+
- 11
|
| 74 |
+
- 12
|
| 75 |
+
- 41
|
| 76 |
+
- 49
|
| 77 |
+
- 51
|
| 78 |
+
- 53
|
| 79 |
+
- 71
|
| 80 |
+
- 98
|
| 81 |
+
- 100
|
| 82 |
+
- 105
|
| 83 |
+
"3":
|
| 84 |
+
- 2
|
| 85 |
+
- 7
|
| 86 |
+
- 13
|
| 87 |
+
- 15
|
| 88 |
+
- 16
|
| 89 |
+
- 19
|
| 90 |
+
- 62
|
| 91 |
+
- 66
|
| 92 |
+
"4": 3.12.12
|
| 93 |
+
"5": 0.23.0
|
| 94 |
+
"6": 4.57.1
|
| 95 |
+
"9":
|
| 96 |
+
"1": transformers_trainer
|
| 97 |
+
"12": 0.23.0
|
| 98 |
+
"13": linux-x86_64
|
| 99 |
+
accelerator_config:
|
| 100 |
+
value:
|
| 101 |
+
dispatch_batches: null
|
| 102 |
+
even_batches: true
|
| 103 |
+
gradient_accumulation_kwargs: null
|
| 104 |
+
non_blocking: false
|
| 105 |
+
split_batches: false
|
| 106 |
+
use_seedable_sampler: true
|
| 107 |
+
adafactor:
|
| 108 |
+
value: false
|
| 109 |
+
adam_beta1:
|
| 110 |
+
value: 0.9
|
| 111 |
+
adam_beta2:
|
| 112 |
+
value: 0.999
|
| 113 |
+
adam_epsilon:
|
| 114 |
+
value: 1e-08
|
| 115 |
+
add_cross_attention:
|
| 116 |
+
value: false
|
| 117 |
+
architectures:
|
| 118 |
+
value:
|
| 119 |
+
- BertForMaskedLM
|
| 120 |
+
attention_probs_dropout_prob:
|
| 121 |
+
value: 0.1
|
| 122 |
+
auto_find_batch_size:
|
| 123 |
+
value: false
|
| 124 |
+
average_tokens_across_devices:
|
| 125 |
+
value: true
|
| 126 |
+
bad_words_ids:
|
| 127 |
+
value: null
|
| 128 |
+
batch_eval_metrics:
|
| 129 |
+
value: false
|
| 130 |
+
batch_size:
|
| 131 |
+
value: 16
|
| 132 |
+
begin_suppress_tokens:
|
| 133 |
+
value: null
|
| 134 |
+
bf16:
|
| 135 |
+
value: false
|
| 136 |
+
bf16_full_eval:
|
| 137 |
+
value: false
|
| 138 |
+
bos_token_id:
|
| 139 |
+
value: null
|
| 140 |
+
chunk_size_feed_forward:
|
| 141 |
+
value: 0
|
| 142 |
+
classifier_dropout:
|
| 143 |
+
value: null
|
| 144 |
+
cross_attention_hidden_size:
|
| 145 |
+
value: null
|
| 146 |
+
data_seed:
|
| 147 |
+
value: null
|
| 148 |
+
dataloader_drop_last:
|
| 149 |
+
value: false
|
| 150 |
+
dataloader_num_workers:
|
| 151 |
+
value: 0
|
| 152 |
+
dataloader_persistent_workers:
|
| 153 |
+
value: false
|
| 154 |
+
dataloader_pin_memory:
|
| 155 |
+
value: true
|
| 156 |
+
dataloader_prefetch_factor:
|
| 157 |
+
value: null
|
| 158 |
+
ddp_backend:
|
| 159 |
+
value: null
|
| 160 |
+
ddp_broadcast_buffers:
|
| 161 |
+
value: null
|
| 162 |
+
ddp_bucket_cap_mb:
|
| 163 |
+
value: null
|
| 164 |
+
ddp_find_unused_parameters:
|
| 165 |
+
value: null
|
| 166 |
+
ddp_timeout:
|
| 167 |
+
value: 1800
|
| 168 |
+
debug:
|
| 169 |
+
value: []
|
| 170 |
+
decoder_start_token_id:
|
| 171 |
+
value: null
|
| 172 |
+
deepspeed:
|
| 173 |
+
value: null
|
| 174 |
+
directionality:
|
| 175 |
+
value: bidi
|
| 176 |
+
disable_tqdm:
|
| 177 |
+
value: false
|
| 178 |
+
diversity_penalty:
|
| 179 |
+
value: 0
|
| 180 |
+
do_eval:
|
| 181 |
+
value: true
|
| 182 |
+
do_predict:
|
| 183 |
+
value: false
|
| 184 |
+
do_sample:
|
| 185 |
+
value: false
|
| 186 |
+
do_train:
|
| 187 |
+
value: false
|
| 188 |
+
dtype:
|
| 189 |
+
value: float32
|
| 190 |
+
early_stopping:
|
| 191 |
+
value: false
|
| 192 |
+
encoder_no_repeat_ngram_size:
|
| 193 |
+
value: 0
|
| 194 |
+
eos_token_id:
|
| 195 |
+
value: null
|
| 196 |
+
epochs:
|
| 197 |
+
value: 3
|
| 198 |
+
eval_accumulation_steps:
|
| 199 |
+
value: null
|
| 200 |
+
eval_delay:
|
| 201 |
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value: 0
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| 214 |
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| 217 |
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| 219 |
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fp16_backend:
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fp16_full_eval:
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| 225 |
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value: false
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| 226 |
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fp16_opt_level:
|
| 227 |
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value: O1
|
| 228 |
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fsdp:
|
| 229 |
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value: []
|
| 230 |
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fsdp_config:
|
| 231 |
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value:
|
| 232 |
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min_num_params: 0
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xla: false
|
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xla_fsdp_grad_ckpt: false
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xla_fsdp_v2: false
|
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fsdp_min_num_params:
|
| 237 |
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value: 0
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| 238 |
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fsdp_transformer_layer_cls_to_wrap:
|
| 239 |
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value: null
|
| 240 |
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full_determinism:
|
| 241 |
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value: false
|
| 242 |
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gradient_accumulation_steps:
|
| 243 |
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value: 1
|
| 244 |
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gradient_checkpointing:
|
| 245 |
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value: false
|
| 246 |
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gradient_checkpointing_kwargs:
|
| 247 |
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value: null
|
| 248 |
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greater_is_better:
|
| 249 |
+
value: true
|
| 250 |
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group_by_length:
|
| 251 |
+
value: false
|
| 252 |
+
half_precision_backend:
|
| 253 |
+
value: auto
|
| 254 |
+
hidden_act:
|
| 255 |
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value: gelu
|
| 256 |
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hidden_dropout_prob:
|
| 257 |
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value: 0.1
|
| 258 |
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hidden_size:
|
| 259 |
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value: 768
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| 260 |
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hub_always_push:
|
| 261 |
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value: false
|
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hub_model_id:
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value: h3110Fr13nd/guj-eng-code-switch-bert-multilingual-data3
|
| 264 |
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hub_private_repo:
|
| 265 |
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value: false
|
| 266 |
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hub_revision:
|
| 267 |
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value: null
|
| 268 |
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hub_strategy:
|
| 269 |
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value: end
|
| 270 |
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hub_token:
|
| 271 |
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value: <HUB_TOKEN>
|
| 272 |
+
id2label:
|
| 273 |
+
value:
|
| 274 |
+
"0": O
|
| 275 |
+
"1": B-GUJ
|
| 276 |
+
"2": I-GUJ
|
| 277 |
+
"3": B-ENG
|
| 278 |
+
"4": I-ENG
|
| 279 |
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ignore_data_skip:
|
| 280 |
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value: false
|
| 281 |
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include_for_metrics:
|
| 282 |
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value: []
|
| 283 |
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include_inputs_for_metrics:
|
| 284 |
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value: false
|
| 285 |
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include_num_input_tokens_seen:
|
| 286 |
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value: "no"
|
| 287 |
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include_tokens_per_second:
|
| 288 |
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value: false
|
| 289 |
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initializer_range:
|
| 290 |
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value: 0.02
|
| 291 |
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intermediate_size:
|
| 292 |
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value: 3072
|
| 293 |
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is_decoder:
|
| 294 |
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value: false
|
| 295 |
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is_encoder_decoder:
|
| 296 |
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value: false
|
| 297 |
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jit_mode_eval:
|
| 298 |
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value: false
|
| 299 |
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label_names:
|
| 300 |
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value: null
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| 301 |
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label_smoothing_factor:
|
| 302 |
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value: 0
|
| 303 |
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label2id:
|
| 304 |
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value:
|
| 305 |
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B-ENG: 3
|
| 306 |
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B-GUJ: 1
|
| 307 |
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I-ENG: 4
|
| 308 |
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I-GUJ: 2
|
| 309 |
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O: 0
|
| 310 |
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layer_norm_eps:
|
| 311 |
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value: 1e-12
|
| 312 |
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learning_rate:
|
| 313 |
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value: 2e-05
|
| 314 |
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length_column_name:
|
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value: length
|
| 316 |
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length_penalty:
|
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value: 1
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| 318 |
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liger_kernel_config:
|
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value: null
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load_best_model_at_end:
|
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value: true
|
| 322 |
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local_rank:
|
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value: 0
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| 324 |
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log_level:
|
| 325 |
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|
| 326 |
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log_level_replica:
|
| 327 |
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value: warning
|
| 328 |
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log_on_each_node:
|
| 329 |
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value: true
|
| 330 |
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logging_dir:
|
| 331 |
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value: ./models/bert-multilingual-data3/logs
|
| 332 |
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logging_first_step:
|
| 333 |
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|
| 334 |
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logging_nan_inf_filter:
|
| 335 |
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value: true
|
| 336 |
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logging_steps:
|
| 337 |
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value: 50
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| 338 |
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logging_strategy:
|
| 339 |
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value: steps
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| 340 |
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lr_scheduler_type:
|
| 341 |
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value: linear
|
| 342 |
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max_grad_norm:
|
| 343 |
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value: 1
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| 344 |
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max_length:
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| 345 |
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value: 20
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| 346 |
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max_position_embeddings:
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| 347 |
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value: 512
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| 348 |
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max_steps:
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| 349 |
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value: -1
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| 350 |
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metric_for_best_model:
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| 351 |
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value: f1
|
| 352 |
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min_length:
|
| 353 |
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value: 0
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| 354 |
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model:
|
| 355 |
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value: bert-base-multilingual-cased
|
| 356 |
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model/num_parameters:
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| 357 |
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value: 177266693
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| 358 |
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model_type:
|
| 359 |
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value: bert
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mp_parameters:
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| 361 |
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value: ""
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neftune_noise_alpha:
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| 363 |
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value: null
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no_cuda:
|
| 365 |
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value: false
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no_repeat_ngram_size:
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num_attention_heads:
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value: 12
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value: 1
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num_beams:
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value: 12
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num_return_sequences:
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value: 1
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num_train_epochs:
|
| 379 |
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value: 3
|
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optim:
|
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value: adamw_torch_fused
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| 382 |
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optim_args:
|
| 383 |
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value: null
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| 384 |
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optim_target_modules:
|
| 385 |
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value: null
|
| 386 |
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output_attentions:
|
| 387 |
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value: false
|
| 388 |
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output_dir:
|
| 389 |
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value: ./models/bert-multilingual-data3
|
| 390 |
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output_hidden_states:
|
| 391 |
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value: false
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| 392 |
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output_scores:
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| 393 |
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value: false
|
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overwrite_output_dir:
|
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value: true
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pad_token_id:
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value: 0
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parallelism_config:
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value: null
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| 400 |
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past_index:
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value: -1
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per_device_eval_batch_size:
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value: 32
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per_device_train_batch_size:
|
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value: 16
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per_gpu_eval_batch_size:
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value: null
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per_gpu_train_batch_size:
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value: null
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pooler_fc_size:
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| 411 |
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value: 768
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pooler_num_attention_heads:
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value: 12
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| 414 |
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pooler_num_fc_layers:
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value: 3
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pooler_size_per_head:
|
| 417 |
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value: 128
|
| 418 |
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pooler_type:
|
| 419 |
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value: first_token_transform
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position_embedding_type:
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value: absolute
|
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prediction_loss_only:
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value: false
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prefix:
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problem_type:
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value: null
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project:
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value: huggingface
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push_to_hub:
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value: true
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push_to_hub_model_id:
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value: guj-eng-code-switch-bert-multilingual-data3
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push_to_hub_organization:
|
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value: null
|
| 436 |
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push_to_hub_token:
|
| 437 |
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value: <PUSH_TO_HUB_TOKEN>
|
| 438 |
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ray_scope:
|
| 439 |
+
value: last
|
| 440 |
+
remove_invalid_values:
|
| 441 |
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value: false
|
| 442 |
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remove_unused_columns:
|
| 443 |
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value: true
|
| 444 |
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repetition_penalty:
|
| 445 |
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value: 1
|
| 446 |
+
report_to:
|
| 447 |
+
value:
|
| 448 |
+
- tensorboard
|
| 449 |
+
- wandb
|
| 450 |
+
restore_callback_states_from_checkpoint:
|
| 451 |
+
value: false
|
| 452 |
+
resume_from_checkpoint:
|
| 453 |
+
value: null
|
| 454 |
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return_dict:
|
| 455 |
+
value: true
|
| 456 |
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return_dict_in_generate:
|
| 457 |
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value: false
|
| 458 |
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run_name:
|
| 459 |
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value: null
|
| 460 |
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save_on_each_node:
|
| 461 |
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value: false
|
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save_only_model:
|
| 463 |
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value: false
|
| 464 |
+
save_safetensors:
|
| 465 |
+
value: true
|
| 466 |
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save_steps:
|
| 467 |
+
value: null
|
| 468 |
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save_strategy:
|
| 469 |
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value: epoch
|
| 470 |
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save_total_limit:
|
| 471 |
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value: 3
|
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seed:
|
| 473 |
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value: 42
|
| 474 |
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sep_token_id:
|
| 475 |
+
value: null
|
| 476 |
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skip_memory_metrics:
|
| 477 |
+
value: true
|
| 478 |
+
suppress_tokens:
|
| 479 |
+
value: null
|
| 480 |
+
task_specific_params:
|
| 481 |
+
value: null
|
| 482 |
+
temperature:
|
| 483 |
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value: 1
|
| 484 |
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tf_legacy_loss:
|
| 485 |
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value: false
|
| 486 |
+
tf32:
|
| 487 |
+
value: null
|
| 488 |
+
tie_encoder_decoder:
|
| 489 |
+
value: false
|
| 490 |
+
tie_word_embeddings:
|
| 491 |
+
value: true
|
| 492 |
+
tokenizer_class:
|
| 493 |
+
value: null
|
| 494 |
+
top_k:
|
| 495 |
+
value: 50
|
| 496 |
+
top_p:
|
| 497 |
+
value: 1
|
| 498 |
+
torch_compile:
|
| 499 |
+
value: false
|
| 500 |
+
torch_compile_backend:
|
| 501 |
+
value: null
|
| 502 |
+
torch_compile_mode:
|
| 503 |
+
value: null
|
| 504 |
+
torch_empty_cache_steps:
|
| 505 |
+
value: null
|
| 506 |
+
torchdynamo:
|
| 507 |
+
value: null
|
| 508 |
+
torchscript:
|
| 509 |
+
value: false
|
| 510 |
+
tpu_metrics_debug:
|
| 511 |
+
value: false
|
| 512 |
+
tpu_num_cores:
|
| 513 |
+
value: null
|
| 514 |
+
trackio_space_id:
|
| 515 |
+
value: trackio
|
| 516 |
+
train_file:
|
| 517 |
+
value: synthetic_data_gen/data3/train.txt
|
| 518 |
+
transformers_version:
|
| 519 |
+
value: 4.57.1
|
| 520 |
+
type_vocab_size:
|
| 521 |
+
value: 2
|
| 522 |
+
typical_p:
|
| 523 |
+
value: 1
|
| 524 |
+
use_bfloat16:
|
| 525 |
+
value: false
|
| 526 |
+
use_cache:
|
| 527 |
+
value: true
|
| 528 |
+
use_cpu:
|
| 529 |
+
value: false
|
| 530 |
+
use_legacy_prediction_loop:
|
| 531 |
+
value: false
|
| 532 |
+
use_liger_kernel:
|
| 533 |
+
value: false
|
| 534 |
+
use_mps_device:
|
| 535 |
+
value: false
|
| 536 |
+
vocab_size:
|
| 537 |
+
value: 119547
|
| 538 |
+
warmup_ratio:
|
| 539 |
+
value: 0.1
|
| 540 |
+
warmup_steps:
|
| 541 |
+
value: 0
|
| 542 |
+
weight_decay:
|
| 543 |
+
value: 0.01
|
wandb_logs/run-20251122_162012-g5qyspo9/files/output.log
ADDED
|
@@ -0,0 +1,81 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
|
| 2 |
+
_| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|
|
| 3 |
+
_| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 4 |
+
_|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|
|
| 5 |
+
_| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 6 |
+
_| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|
|
| 7 |
+
Enter your token (input will not be visible):
|
| 8 |
+
|
| 9 |
+
[1m[31mCannot authenticate through git-credential as no helper is defined on your machine.
|
| 10 |
+
You might have to re-authenticate when pushing to the Hugging Face Hub.
|
| 11 |
+
Run the following command in your terminal in case you want to set the 'store' credential helper as default.
|
| 12 |
+
|
| 13 |
+
git config --global credential.helper store
|
| 14 |
+
|
| 15 |
+
Read https://git-scm.com/book/en/v2/Git-Tools-Credential-Storage for more details.[0m
|
| 16 |
+
Token has not been saved to git credential helper.
|
| 17 |
+
WARNING:huggingface_hub._login:Token has not been saved to git credential helper.
|
| 18 |
+
Some weights of BertForTokenClassification were not initialized from the model checkpoint at bert-base-multilingual-cased and are newly initialized: ['classifier.bias', 'classifier.weight']
|
| 19 |
+
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
|
| 20 |
+
100% 741/741 [04:18<00:00, 2.86it/s]
|
| 21 |
+
{'loss': 1.605, 'grad_norm': 7.117066383361816, 'learning_rate': 0.0, 'epoch': 0.0}
|
| 22 |
+
{'loss': 1.1156, 'grad_norm': 2.9144561290740967, 'learning_rate': 1.3066666666666668e-05, 'epoch': 0.2}
|
| 23 |
+
{'loss': 0.3404, 'grad_norm': 17.36507225036621, 'learning_rate': 1.927927927927928e-05, 'epoch': 0.4}
|
| 24 |
+
{'loss': 0.1872, 'grad_norm': 4.454167366027832, 'learning_rate': 1.7777777777777777e-05, 'epoch': 0.61}
|
| 25 |
+
{'loss': 0.167, 'grad_norm': 3.682462692260742, 'learning_rate': 1.627627627627628e-05, 'epoch': 0.81}
|
| 26 |
+
Processing Files (3 / 3) : 100% 709M/709M [00:18<00:00, 39.3MB/s, 27.8MB/s ]
|
| 27 |
+
{'eval_loss': 0.10514671355485916, 'eval_precision': 0.9108744394618834, 'eval_recall': 0.9497369959088252, 'eval_f1': 0.9298998569384834, 'eval_accuracy': 0.9728603668769168, 'eval_runtime': 3.6556, 'eval_samples_per_second': 134.862, 'eval_steps_per_second': 4.377, 'epoch': 1.0}
|
| 28 |
+
{'loss': 0.1493, 'grad_norm': 1.5595707893371582, 'learning_rate': 1.4774774774774776e-05, 'epoch': 1.01}
|
| 29 |
+
{'loss': 0.0968, 'grad_norm': 2.235821008682251, 'learning_rate': 1.3273273273273274e-05, 'epoch': 1.21}
|
| 30 |
+
{'loss': 0.0727, 'grad_norm': 1.0842339992523193, 'learning_rate': 1.1771771771771771e-05, 'epoch': 1.42}
|
| 31 |
+
{'loss': 0.0868, 'grad_norm': 6.031585693359375, 'learning_rate': 1.027027027027027e-05, 'epoch': 1.62}
|
| 32 |
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{'loss': 0.0701, 'grad_norm': 1.9359896183013916, 'learning_rate': 8.768768768768769e-06, 'epoch': 1.82}
|
| 33 |
+
{'eval_loss': 0.07907417416572571, 'eval_precision': 0.9501146788990825, 'eval_recall': 0.9684395090590298, 'eval_f1': 0.9591895803183791, 'eval_accuracy': 0.98026734563972, 'eval_runtime': 3.4462, 'eval_samples_per_second': 143.054, 'eval_steps_per_second': 4.643, 'epoch': 2.0}
|
| 34 |
+
{'loss': 0.0643, 'grad_norm': 3.1213998794555664, 'learning_rate': 7.267267267267268e-06, 'epoch': 2.02}
|
| 35 |
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{'loss': 0.05, 'grad_norm': 7.348484516143799, 'learning_rate': 5.765765765765766e-06, 'epoch': 2.23}
|
| 36 |
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{'loss': 0.048, 'grad_norm': 3.844130039215088, 'learning_rate': 4.264264264264265e-06, 'epoch': 2.43}
|
| 37 |
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{'loss': 0.0333, 'grad_norm': 2.3236796855926514, 'learning_rate': 2.7627627627627628e-06, 'epoch': 2.63}
|
| 38 |
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{'loss': 0.0487, 'grad_norm': 4.769405841827393, 'learning_rate': 1.2612612612612613e-06, 'epoch': 2.83}
|
| 39 |
+
{'eval_loss': 0.0766110047698021, 'eval_precision': 0.952819332566168, 'eval_recall': 0.9678550555230859, 'eval_f1': 0.9602783415482748, 'eval_accuracy': 0.9815404201145767, 'eval_runtime': 3.3752, 'eval_samples_per_second': 146.064, 'eval_steps_per_second': 4.74, 'epoch': 3.0}
|
| 40 |
+
{'train_runtime': 258.9215, 'train_samples_per_second': 45.651, 'train_steps_per_second': 2.862, 'train_loss': 0.17321264293351477, 'epoch': 3.0}
|
| 41 |
+
New Data Upload : 100% 709M/709M [00:18<00:00, 39.3MB/s, 27.8MB/s ]
|
| 42 |
+
...l-data3/model.safetensors: 100% 709M/709M [00:17<00:00, 41.7MB/s]
|
| 43 |
+
...28435.f0da10c9a12b.3876.0: 100% 10.4k/10.4k [00:09<00:00, 973B/s]
|
| 44 |
+
...l-data3/training_args.bin: 100% 5.97k/5.97k [00:09<00:00, 559B/s]
|
| 45 |
+
Processing Files (3 / 3) : 100% 709M/709M [00:04<00:00, 154MB/s, 154MB/s ]
|
| 46 |
+
New Data Upload : | | 0.00B / 0.00B, 0.00B/s
|
| 47 |
+
...l-data3/training_args.bin: 100% 5.97k/5.97k [00:04<?, ?B/s]
|
| 48 |
+
...28435.f0da10c9a12b.3876.0: 100% 10.4k/10.4k [00:04<?, ?B/s]
|
| 49 |
+
...l-data3/model.safetensors: 100% 709M/709M [00:04<00:00, 153MB/s]
|
| 50 |
+
No files have been modified since last commit. Skipping to prevent empty commit.
|
| 51 |
+
WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.
|
| 52 |
+
***** train metrics *****
|
| 53 |
+
epoch = 3.0
|
| 54 |
+
total_flos = 461623GF
|
| 55 |
+
train_loss = 0.1732
|
| 56 |
+
train_runtime = 0:04:18.92
|
| 57 |
+
train_samples_per_second = 45.651
|
| 58 |
+
train_steps_per_second = 2.862
|
| 59 |
+
100% 16/16 [00:03<00:00, 5.02it/s]
|
| 60 |
+
***** eval metrics *****
|
| 61 |
+
epoch = 3.0
|
| 62 |
+
eval_accuracy = 0.9815
|
| 63 |
+
eval_f1 = 0.9603
|
| 64 |
+
eval_loss = 0.0766
|
| 65 |
+
eval_precision = 0.9528
|
| 66 |
+
eval_recall = 0.9679
|
| 67 |
+
eval_runtime = 0:00:03.41
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| 68 |
+
eval_samples_per_second = 144.258
|
| 69 |
+
eval_steps_per_second = 4.682
|
| 70 |
+
94% 15/16 [00:02<00:00, 6.09it/s]early stopping required metric_for_best_model, but did not find eval_f1 so early stopping is disabled
|
| 71 |
+
100% 16/16 [00:03<00:00, 5.04it/s]
|
| 72 |
+
***** test metrics *****
|
| 73 |
+
epoch = 3.0
|
| 74 |
+
test_accuracy = 0.9802
|
| 75 |
+
test_f1 = 0.957
|
| 76 |
+
test_loss = 0.0883
|
| 77 |
+
test_precision = 0.9483
|
| 78 |
+
test_recall = 0.9658
|
| 79 |
+
test_runtime = 0:00:03.38
|
| 80 |
+
test_samples_per_second = 145.525
|
| 81 |
+
test_steps_per_second = 4.733
|
wandb_logs/run-20251122_162012-g5qyspo9/files/requirements.txt
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
setuptools==75.2.0
|
| 2 |
+
pip==24.1.2
|
| 3 |
+
requirements-parser==0.9.0
|
| 4 |
+
types-setuptools==80.9.0.20250822
|
| 5 |
+
ipykernel==7.1.0
|
| 6 |
+
tensorboard==2.20.0
|
| 7 |
+
numpy==2.3.5
|
| 8 |
+
pyarrow==22.0.0
|
| 9 |
+
matplotlib==3.10.7
|
| 10 |
+
widgetsnbextension==4.0.15
|
| 11 |
+
seqeval==1.2.2
|
| 12 |
+
ipywidgets==8.1.8
|
| 13 |
+
datasets==4.4.1
|
| 14 |
+
pandas==2.3.3
|
| 15 |
+
comm==0.2.3
|
| 16 |
+
google-genai==1.50.1
|
| 17 |
+
scikit-learn==1.7.2
|
| 18 |
+
evaluate==0.4.6
|
| 19 |
+
jedi==0.19.2
|
| 20 |
+
jupyter_client==8.6.3
|
| 21 |
+
google-colab==1.0.0
|
| 22 |
+
httpcore==1.0.9
|
| 23 |
+
colorlover==0.3.0
|
| 24 |
+
pyOpenSSL==24.2.1
|
| 25 |
+
PySocks==1.7.1
|
| 26 |
+
fsspec==2025.3.0
|
| 27 |
+
google-ai-generativelanguage==0.6.15
|
| 28 |
+
dlib==19.24.6
|
| 29 |
+
fastdownload==0.0.7
|
| 30 |
+
jaxlib==0.7.2
|
| 31 |
+
python-multipart==0.0.20
|
| 32 |
+
nltk==3.9.1
|
| 33 |
+
chardet==5.2.0
|
| 34 |
+
pyparsing==3.2.5
|
| 35 |
+
sentry-sdk==2.45.0
|
| 36 |
+
audioread==3.1.0
|
| 37 |
+
langchain-core==0.3.80
|
| 38 |
+
jaraco.classes==3.4.0
|
| 39 |
+
cymem==2.0.13
|
| 40 |
+
vega-datasets==0.9.0
|
| 41 |
+
docstring_parser==0.17.0
|
| 42 |
+
nest-asyncio==1.6.0
|
| 43 |
+
mlxtend==0.23.4
|
| 44 |
+
xyzservices==2025.10.0
|
| 45 |
+
more-itertools==10.8.0
|
| 46 |
+
torchao==0.10.0
|
| 47 |
+
numba==0.60.0
|
| 48 |
+
panel==1.8.3
|
| 49 |
+
docutils==0.21.2
|
| 50 |
+
holoviews==1.22.0
|
| 51 |
+
attrs==25.4.0
|
| 52 |
+
db-dtypes==1.4.4
|
| 53 |
+
tabulate==0.9.0
|
| 54 |
+
pydotplus==2.0.2
|
| 55 |
+
soundfile==0.13.1
|
| 56 |
+
sklearn-pandas==2.2.0
|
| 57 |
+
multitasking==0.0.12
|
| 58 |
+
glob2==0.7
|
| 59 |
+
nvidia-cusolver-cu12==11.7.1.2
|
| 60 |
+
google-adk==1.17.0
|
| 61 |
+
alabaster==1.0.0
|
| 62 |
+
mdit-py-plugins==0.5.0
|
| 63 |
+
intel-cmplr-lib-ur==2025.3.1
|
| 64 |
+
nvidia-cufft-cu12==11.3.0.4
|
| 65 |
+
google-cloud-bigquery-connection==1.19.0
|
| 66 |
+
polars==1.31.0
|
| 67 |
+
openai==1.109.1
|
| 68 |
+
google-cloud-spanner==3.59.0
|
| 69 |
+
patsy==1.0.2
|
| 70 |
+
pytest==8.4.2
|
| 71 |
+
pycparser==2.23
|
| 72 |
+
curl_cffi==0.13.0
|
| 73 |
+
linkify-it-py==2.0.3
|
| 74 |
+
imutils==0.5.4
|
| 75 |
+
Markdown==3.10
|
| 76 |
+
pandas-stubs==2.2.2.240909
|
| 77 |
+
pooch==1.8.2
|
| 78 |
+
pandas-gbq==0.30.0
|
| 79 |
+
google-cloud-dataproc==5.23.0
|
| 80 |
+
google-cloud-language==2.18.0
|
| 81 |
+
jupyter_kernel_gateway==2.5.2
|
| 82 |
+
google-resumable-media==2.8.0
|
| 83 |
+
nvidia-cuda-runtime-cu12==12.6.77
|
| 84 |
+
dask-cudf-cu12==25.10.0
|
| 85 |
+
websocket-client==1.9.0
|
| 86 |
+
distributed-ucxx-cu12==0.46.0
|
| 87 |
+
altair==5.5.0
|
| 88 |
+
idna==3.11
|
| 89 |
+
wandb==0.23.0
|
| 90 |
+
moviepy==1.0.3
|
| 91 |
+
click==8.3.1
|
| 92 |
+
oauth2client==4.1.3
|
| 93 |
+
GDAL==3.8.4
|
| 94 |
+
mcp==1.21.2
|
| 95 |
+
pyzmq==26.2.1
|
| 96 |
+
langsmith==0.4.43
|
| 97 |
+
sqlparse==0.5.3
|
| 98 |
+
betterproto==2.0.0b6
|
| 99 |
+
parso==0.8.5
|
| 100 |
+
imbalanced-learn==0.14.0
|
| 101 |
+
tbb==2022.3.0
|
| 102 |
+
dm-tree==0.1.9
|
| 103 |
+
cuda-python==12.9.4
|
| 104 |
+
pygit2==1.19.0
|
| 105 |
+
proglog==0.1.12
|
| 106 |
+
fastjsonschema==2.21.2
|
| 107 |
+
tornado==6.5.1
|
| 108 |
+
matplotlib-venn==1.1.2
|
| 109 |
+
Authlib==1.6.5
|
| 110 |
+
cryptography==43.0.3
|
| 111 |
+
snowballstemmer==3.0.1
|
| 112 |
+
networkx==3.5
|
| 113 |
+
nvidia-cublas-cu12==12.6.4.1
|
| 114 |
+
wcwidth==0.2.14
|
| 115 |
+
dopamine_rl==4.1.2
|
| 116 |
+
blobfile==3.1.0
|
| 117 |
+
simple-parsing==0.1.7
|
| 118 |
+
pylibcugraph-cu12==25.10.1
|
| 119 |
+
sentence-transformers==5.1.2
|
| 120 |
+
jsonpatch==1.33
|
| 121 |
+
webencodings==0.5.1
|
| 122 |
+
zict==3.0.0
|
| 123 |
+
google-cloud-bigquery-storage==2.34.0
|
| 124 |
+
sphinxcontrib-serializinghtml==2.0.0
|
| 125 |
+
uc-micro-py==1.0.3
|
| 126 |
+
rfc3987-syntax==1.1.0
|
| 127 |
+
itsdangerous==2.2.0
|
| 128 |
+
peft==0.18.0
|
| 129 |
+
gspread-dataframe==4.0.0
|
| 130 |
+
pydot==3.0.4
|
| 131 |
+
pydantic_core==2.33.2
|
| 132 |
+
oauthlib==3.3.1
|
| 133 |
+
google-cloud-bigquery==3.38.0
|
| 134 |
+
geopy==2.4.1
|
| 135 |
+
rmm-cu12==25.10.0
|
| 136 |
+
distributed==2025.9.1
|
| 137 |
+
pandocfilters==1.5.1
|
| 138 |
+
llvmlite==0.43.0
|
| 139 |
+
torchaudio==2.9.0+cu126
|
| 140 |
+
hdbscan==0.8.40
|
| 141 |
+
safetensors==0.7.0
|
| 142 |
+
et_xmlfile==2.0.0
|
| 143 |
+
numexpr==2.14.1
|
| 144 |
+
scs==3.2.9
|
| 145 |
+
importlib_resources==6.5.2
|
| 146 |
+
pyogrio==0.11.1
|
| 147 |
+
rapids-logger==0.1.19
|
| 148 |
+
google==2.0.3
|
| 149 |
+
blinker==1.9.0
|
| 150 |
+
colour==0.1.5
|
| 151 |
+
lightgbm==4.6.0
|
| 152 |
+
pylibraft-cu12==25.10.0
|
| 153 |
+
autograd==1.8.0
|
| 154 |
+
duckdb==1.3.2
|
| 155 |
+
typing_extensions==4.15.0
|
| 156 |
+
protobuf==5.29.5
|
| 157 |
+
argon2-cffi==25.1.0
|
| 158 |
+
Bottleneck==1.4.2
|
| 159 |
+
libucxx-cu12==0.46.0
|
| 160 |
+
libcugraph-cu12==25.10.1
|
| 161 |
+
huggingface-hub==0.36.0
|
| 162 |
+
fastapi==0.121.3
|
| 163 |
+
mistune==3.1.4
|
| 164 |
+
pyspark==3.5.1
|
| 165 |
+
ibis-framework==9.5.0
|
| 166 |
+
tqdm==4.67.1
|
| 167 |
+
seaborn==0.13.2
|
| 168 |
+
mdurl==0.1.2
|
| 169 |
+
stumpy==1.13.0
|
| 170 |
+
python-dotenv==1.2.1
|
| 171 |
+
psygnal==0.15.0
|
| 172 |
+
music21==9.3.0
|
| 173 |
+
Farama-Notifications==0.0.4
|
| 174 |
+
jsonschema-specifications==2025.9.1
|
| 175 |
+
xxhash==3.6.0
|
| 176 |
+
confection==0.1.5
|
| 177 |
+
treelite==4.4.1
|
| 178 |
+
httpimport==1.4.1
|
| 179 |
+
libpysal==4.13.0
|
| 180 |
+
cramjam==2.11.0
|
| 181 |
+
google-cloud-functions==1.21.0
|
| 182 |
+
grpcio-status==1.71.2
|
| 183 |
+
torchsummary==1.5.1
|
| 184 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 185 |
+
libucx-cu12==1.19.0
|
| 186 |
+
geopandas==1.1.1
|
| 187 |
+
toml==0.10.2
|
| 188 |
+
shapely==2.1.2
|
| 189 |
+
html5lib==1.1
|
| 190 |
+
antlr4-python3-runtime==4.9.3
|
| 191 |
+
clarabel==0.11.1
|
| 192 |
+
uvicorn==0.38.0
|
| 193 |
+
toolz==0.12.1
|
| 194 |
+
cloudpathlib==0.23.0
|
| 195 |
+
cupy-cuda12x==13.6.0
|
| 196 |
+
fastai==2.8.5
|
| 197 |
+
peewee==3.18.3
|
| 198 |
+
GitPython==3.1.45
|
| 199 |
+
aiohappyeyeballs==2.6.1
|
| 200 |
+
murmurhash==1.0.15
|
| 201 |
+
jax-cuda12-plugin==0.7.2
|
| 202 |
+
pyperclip==1.11.0
|
| 203 |
+
promise==2.3
|
| 204 |
+
jupyter_server==2.14.0
|
| 205 |
+
webcolors==25.10.0
|
| 206 |
+
imagesize==1.4.1
|
| 207 |
+
prettytable==3.17.0
|
| 208 |
+
alembic==1.17.2
|
| 209 |
+
progressbar2==4.5.0
|
| 210 |
+
requests==2.32.4
|
| 211 |
+
nvidia-ml-py==13.580.82
|
| 212 |
+
humanize==4.14.0
|
| 213 |
+
umap-learn==0.5.9.post2
|
| 214 |
+
h5netcdf==1.7.3
|
| 215 |
+
PyGObject==3.42.0
|
| 216 |
+
google-cloud-aiplatform==1.128.0
|
| 217 |
+
flatbuffers==25.9.23
|
| 218 |
+
optax==0.2.6
|
| 219 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
| 220 |
+
nx-cugraph-cu12==25.10.0
|
| 221 |
+
lark==1.3.1
|
| 222 |
+
tenacity==8.5.0
|
| 223 |
+
entrypoints==0.4
|
| 224 |
+
prompt_toolkit==3.0.52
|
| 225 |
+
fonttools==4.60.1
|
| 226 |
+
ffmpy==1.0.0
|
| 227 |
+
google-cloud-core==2.5.0
|
| 228 |
+
matplotlib-inline==0.2.1
|
| 229 |
+
sphinxcontrib-jsmath==1.0.1
|
| 230 |
+
ply==3.11
|
| 231 |
+
tweepy==4.16.0
|
| 232 |
+
en_core_web_sm==3.8.0
|
| 233 |
+
google-crc32c==1.7.1
|
| 234 |
+
libcudf-cu12==25.10.0
|
| 235 |
+
ipytree==0.2.2
|
| 236 |
+
ImageIO==2.37.2
|
| 237 |
+
rfc3339-validator==0.1.4
|
| 238 |
+
keras==3.10.0
|
| 239 |
+
opt_einsum==3.4.0
|
| 240 |
+
jupyter_server_terminals==0.5.3
|
| 241 |
+
rpds-py==0.29.0
|
| 242 |
+
threadpoolctl==3.6.0
|
| 243 |
+
urllib3==2.5.0
|
| 244 |
+
kagglehub==0.3.13
|
| 245 |
+
Flask==3.1.2
|
| 246 |
+
easydict==1.13
|
| 247 |
+
grpcio==1.76.0
|
| 248 |
+
ratelim==0.1.6
|
| 249 |
+
logical-unification==0.4.7
|
| 250 |
+
omegaconf==2.3.0
|
| 251 |
+
roman-numerals-py==3.1.0
|
| 252 |
+
dataproc-spark-connect==0.8.3
|
| 253 |
+
langchain-text-splitters==0.3.11
|
| 254 |
+
tinycss2==1.4.0
|
| 255 |
+
python-json-logger==4.0.0
|
| 256 |
+
scikit-image==0.25.2
|
| 257 |
+
highspy==1.12.0
|
| 258 |
+
tf-slim==1.1.0
|
| 259 |
+
torchtune==0.6.1
|
| 260 |
+
jupyter-console==6.6.3
|
| 261 |
+
spanner-graph-notebook==1.1.8
|
| 262 |
+
dill==0.3.8
|
| 263 |
+
tensorboard-data-server==0.7.2
|
| 264 |
+
slicer==0.0.8
|
| 265 |
+
keyring==25.7.0
|
| 266 |
+
arviz==0.22.0
|
| 267 |
+
sympy==1.13.3
|
| 268 |
+
google-cloud-resource-manager==1.15.0
|
| 269 |
+
traittypes==0.2.3
|
| 270 |
+
typer-slim==0.20.0
|
| 271 |
+
annotated-doc==0.0.4
|
| 272 |
+
hf-xet==1.2.0
|
| 273 |
+
dask-cuda==25.10.0
|
| 274 |
+
pymc==5.26.1
|
| 275 |
+
pynndescent==0.5.13
|
| 276 |
+
stanio==0.5.1
|
| 277 |
+
treescope==0.1.10
|
| 278 |
+
optree==0.18.0
|
| 279 |
+
propcache==0.4.1
|
| 280 |
+
rich==13.9.4
|
| 281 |
+
gcsfs==2025.3.0
|
| 282 |
+
torch==2.9.0+cu126
|
| 283 |
+
MarkupSafe==3.0.3
|
| 284 |
+
tzlocal==5.3.1
|
| 285 |
+
google-cloud-secret-manager==2.25.0
|
| 286 |
+
atpublic==5.1
|
| 287 |
+
gitdb==4.0.12
|
| 288 |
+
ruff==0.14.5
|
| 289 |
+
opentelemetry-exporter-gcp-monitoring==1.11.0a0
|
| 290 |
+
grpc-interceptor==0.15.4
|
| 291 |
+
opentelemetry-exporter-gcp-logging==1.11.0a0
|
| 292 |
+
fqdn==1.5.1
|
| 293 |
+
soxr==1.0.0
|
| 294 |
+
hf_transfer==0.1.9
|
| 295 |
+
pyasn1==0.6.1
|
| 296 |
+
geemap==0.35.3
|
| 297 |
+
regex==2024.11.6
|
| 298 |
+
ipython-sql==0.5.0
|
| 299 |
+
pyviz_comms==3.0.6
|
| 300 |
+
pydub==0.25.1
|
| 301 |
+
geographiclib==2.1
|
| 302 |
+
Jinja2==3.1.6
|
| 303 |
+
ipython-genutils==0.2.0
|
| 304 |
+
multiprocess==0.70.16
|
| 305 |
+
h11==0.16.0
|
| 306 |
+
tables==3.10.2
|
| 307 |
+
tensorflow-text==2.19.0
|
| 308 |
+
bokeh==3.7.3
|
| 309 |
+
opentelemetry-resourcedetector-gcp==1.11.0a0
|
| 310 |
+
beautifulsoup4==4.13.5
|
| 311 |
+
filelock==3.20.0
|
| 312 |
+
catalogue==2.0.10
|
| 313 |
+
fasttransform==0.0.2
|
| 314 |
+
typeguard==4.4.4
|
| 315 |
+
openpyxl==3.1.5
|
| 316 |
+
tokenizers==0.22.1
|
| 317 |
+
plotly==5.24.1
|
| 318 |
+
ucxx-cu12==0.46.0
|
| 319 |
+
branca==0.8.2
|
| 320 |
+
overrides==7.7.0
|
| 321 |
+
cuda-core==0.3.2
|
| 322 |
+
tensorflow-probability==0.25.0
|
| 323 |
+
xarray-einstats==0.9.1
|
| 324 |
+
tf_keras==2.19.0
|
| 325 |
+
referencing==0.37.0
|
| 326 |
+
argon2-cffi-bindings==25.1.0
|
| 327 |
+
librmm-cu12==25.10.0
|
| 328 |
+
nvidia-cusparse-cu12==12.5.4.2
|
| 329 |
+
google-cloud-discoveryengine==0.13.12
|
| 330 |
+
xgboost==3.1.1
|
| 331 |
+
diffusers==0.35.2
|
| 332 |
+
timm==1.0.22
|
| 333 |
+
PyDrive2==1.21.3
|
| 334 |
+
tblib==3.2.2
|
| 335 |
+
scooby==0.11.0
|
| 336 |
+
opencv-python-headless==4.12.0.88
|
| 337 |
+
wheel==0.45.1
|
| 338 |
+
firebase-admin==6.9.0
|
| 339 |
+
shap==0.50.0
|
| 340 |
+
jsonpointer==3.0.0
|
| 341 |
+
python-louvain==0.16
|
| 342 |
+
charset-normalizer==3.4.4
|
| 343 |
+
sqlglot==25.20.2
|
| 344 |
+
jsonschema==4.25.1
|
| 345 |
+
jieba==0.42.1
|
| 346 |
+
importlib_metadata==8.7.0
|
| 347 |
+
nvidia-cuda-nvrtc-cu12==12.6.77
|
| 348 |
+
editdistance==0.8.1
|
| 349 |
+
jax==0.7.2
|
| 350 |
+
google-api-core==2.28.1
|
| 351 |
+
shellingham==1.5.4
|
| 352 |
+
portpicker==1.5.2
|
| 353 |
+
cudf-cu12==25.10.0
|
| 354 |
+
gspread==6.2.1
|
| 355 |
+
pylibcudf-cu12==25.10.0
|
| 356 |
+
python-slugify==8.0.4
|
| 357 |
+
anywidget==0.9.21
|
| 358 |
+
distro==1.9.0
|
| 359 |
+
stringzilla==4.2.3
|
| 360 |
+
libcuml-cu12==25.10.0
|
| 361 |
+
graphviz==0.21
|
| 362 |
+
ipython==7.34.0
|
| 363 |
+
hyperopt==0.2.7
|
| 364 |
+
sniffio==1.3.1
|
| 365 |
+
python-utils==3.9.1
|
| 366 |
+
bigframes==2.29.1
|
| 367 |
+
folium==0.20.0
|
| 368 |
+
google-cloud-bigtable==2.34.0
|
| 369 |
+
text-unidecode==1.3
|
| 370 |
+
pydantic-settings==2.12.0
|
| 371 |
+
annotated-types==0.7.0
|
| 372 |
+
locket==1.0.0
|
| 373 |
+
pyproj==3.7.2
|
| 374 |
+
orbax-checkpoint==0.11.28
|
| 375 |
+
PyJWT==2.10.1
|
| 376 |
+
natsort==8.4.0
|
| 377 |
+
astropy-iers-data==0.2025.11.10.0.38.31
|
| 378 |
+
gym-notices==0.1.0
|
| 379 |
+
debugpy==1.8.15
|
| 380 |
+
weasel==0.4.3
|
| 381 |
+
PyOpenGL==3.1.10
|
| 382 |
+
pydata-google-auth==1.9.1
|
| 383 |
+
semantic-version==2.10.0
|
| 384 |
+
google-cloud-firestore==2.21.0
|
| 385 |
+
statsmodels==0.14.5
|
| 386 |
+
pycocotools==2.0.10
|
| 387 |
+
greenlet==3.2.4
|
| 388 |
+
Werkzeug==3.1.3
|
| 389 |
+
preshed==3.0.12
|
| 390 |
+
gymnasium==1.2.2
|
| 391 |
+
prometheus_client==0.23.1
|
| 392 |
+
triton==3.5.0
|
| 393 |
+
frozendict==2.4.7
|
| 394 |
+
multipledispatch==1.0.0
|
| 395 |
+
srsly==2.5.2
|
| 396 |
+
google-auth-httplib2==0.2.1
|
| 397 |
+
zstandard==0.25.0
|
| 398 |
+
uri-template==1.3.0
|
| 399 |
+
gradio==5.49.1
|
| 400 |
+
websockets==15.0.1
|
| 401 |
+
bigquery-magics==0.10.3
|
| 402 |
+
nvidia-cuda-nvcc-cu12==12.5.82
|
| 403 |
+
etils==1.13.0
|
| 404 |
+
cufflinks==0.17.3
|
| 405 |
+
simsimd==6.5.3
|
| 406 |
+
frozenlist==1.8.0
|
| 407 |
+
transformers==4.57.1
|
| 408 |
+
ale-py==0.11.2
|
| 409 |
+
orjson==3.11.4
|
| 410 |
+
jiter==0.12.0
|
| 411 |
+
safehttpx==0.1.7
|
| 412 |
+
google-auth==2.38.0
|
| 413 |
+
inflect==7.5.0
|
| 414 |
+
decorator==4.4.2
|
| 415 |
+
types-pytz==2025.2.0.20251108
|
| 416 |
+
cyipopt==1.5.0
|
| 417 |
+
imageio-ffmpeg==0.6.0
|
| 418 |
+
pyshp==3.0.2.post1
|
| 419 |
+
grpc-google-iam-v1==0.14.3
|
| 420 |
+
immutabledict==4.2.2
|
| 421 |
+
ipyparallel==8.8.0
|
| 422 |
+
beartype==0.22.5
|
| 423 |
+
keras-nlp==0.21.1
|
| 424 |
+
tensorflow-hub==0.16.1
|
| 425 |
+
yfinance==0.2.66
|
| 426 |
+
cuda-toolkit==12.9.1
|
| 427 |
+
googleapis-common-protos==1.72.0
|
| 428 |
+
google-generativeai==0.8.5
|
| 429 |
+
aiofiles==24.1.0
|
| 430 |
+
joblib==1.5.2
|
| 431 |
+
ndindex==1.10.1
|
| 432 |
+
nbformat==5.10.4
|
| 433 |
+
pygame==2.6.1
|
| 434 |
+
opentelemetry-proto==1.37.0
|
| 435 |
+
cachetools==5.5.2
|
| 436 |
+
sphinxcontrib-qthelp==2.0.0
|
| 437 |
+
albumentations==2.0.8
|
| 438 |
+
libraft-cu12==25.10.0
|
| 439 |
+
absl-py==1.4.0
|
| 440 |
+
simplejson==3.20.2
|
| 441 |
+
jupytext==1.17.3
|
| 442 |
+
raft-dask-cu12==25.10.0
|
| 443 |
+
pyomo==6.9.5
|
| 444 |
+
msgpack==1.1.2
|
| 445 |
+
tensorflow==2.19.0
|
| 446 |
+
dask==2025.9.1
|
| 447 |
+
aiohttp==3.13.2
|
| 448 |
+
future==1.0.0
|
| 449 |
+
bleach==6.3.0
|
| 450 |
+
cmdstanpy==1.3.0
|
| 451 |
+
wurlitzer==3.1.1
|
| 452 |
+
libkvikio-cu12==25.10.0
|
| 453 |
+
google-cloud-audit-log==0.4.0
|
| 454 |
+
packaging==25.0
|
| 455 |
+
defusedxml==0.7.1
|
| 456 |
+
google-auth-oauthlib==1.2.3
|
| 457 |
+
textblob==0.19.0
|
| 458 |
+
pexpect==4.9.0
|
| 459 |
+
Mako==1.3.10
|
| 460 |
+
cmake==3.31.6
|
| 461 |
+
eerepr==0.1.2
|
| 462 |
+
namex==0.1.0
|
| 463 |
+
sse-starlette==3.0.3
|
| 464 |
+
grpclib==0.4.8
|
| 465 |
+
jaraco.context==6.0.1
|
| 466 |
+
nbclient==0.10.2
|
| 467 |
+
scipy==1.16.3
|
| 468 |
+
miniKanren==1.0.5
|
| 469 |
+
nvidia-curand-cu12==10.3.7.77
|
| 470 |
+
sphinxcontrib-applehelp==2.0.0
|
| 471 |
+
python-dateutil==2.9.0.post0
|
| 472 |
+
librosa==0.11.0
|
| 473 |
+
ptyprocess==0.7.0
|
| 474 |
+
opentelemetry-api==1.37.0
|
| 475 |
+
nvtx==0.2.13
|
| 476 |
+
nvidia-cufile-cu12==1.11.1.6
|
| 477 |
+
plum-dispatch==2.6.0
|
| 478 |
+
kiwisolver==1.4.9
|
| 479 |
+
ipyleaflet==0.20.0
|
| 480 |
+
jaraco.functools==4.3.0
|
| 481 |
+
terminado==0.18.1
|
| 482 |
+
tensorflow_decision_forests==1.12.0
|
| 483 |
+
Send2Trash==1.8.3
|
| 484 |
+
flax==0.10.7
|
| 485 |
+
PyWavelets==1.9.0
|
| 486 |
+
brotli==1.2.0
|
| 487 |
+
mpmath==1.3.0
|
| 488 |
+
earthengine-api==1.5.24
|
| 489 |
+
isoduration==20.11.0
|
| 490 |
+
pytz==2025.2
|
| 491 |
+
tiktoken==0.12.0
|
| 492 |
+
traitlets==5.7.1
|
| 493 |
+
typer==0.20.0
|
| 494 |
+
plotnine==0.14.5
|
| 495 |
+
sphinxcontrib-devhelp==2.0.0
|
| 496 |
+
spacy==3.8.11
|
| 497 |
+
gym==0.25.2
|
| 498 |
+
google-cloud-datastore==2.21.0
|
| 499 |
+
torchdata==0.11.0
|
| 500 |
+
bqplot==0.12.45
|
| 501 |
+
missingno==0.5.2
|
| 502 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 503 |
+
param==2.3.0
|
| 504 |
+
tensorstore==0.1.79
|
| 505 |
+
ipyfilechooser==0.6.0
|
| 506 |
+
rfc3986-validator==0.1.1
|
| 507 |
+
nibabel==5.3.2
|
| 508 |
+
starlette==0.50.0
|
| 509 |
+
psutil==5.9.5
|
| 510 |
+
lazy_loader==0.4
|
| 511 |
+
smart_open==7.5.0
|
| 512 |
+
jupyter_core==5.9.1
|
| 513 |
+
pycairo==1.29.0
|
| 514 |
+
pytensor==2.35.1
|
| 515 |
+
hpack==4.1.0
|
| 516 |
+
smmap==5.0.2
|
| 517 |
+
httplib2==0.31.0
|
| 518 |
+
h2==4.3.0
|
| 519 |
+
nvidia-nccl-cu12==2.27.5
|
| 520 |
+
googledrivedownloader==1.1.0
|
| 521 |
+
SQLAlchemy==2.0.44
|
| 522 |
+
yellowbrick==1.5
|
| 523 |
+
cloudpickle==3.1.2
|
| 524 |
+
typing-inspection==0.4.2
|
| 525 |
+
cuml-cu12==25.10.0
|
| 526 |
+
tensorflow-metadata==1.17.2
|
| 527 |
+
hyperframe==6.1.0
|
| 528 |
+
numba-cuda==0.19.1
|
| 529 |
+
rpy2==3.5.17
|
| 530 |
+
cuda-bindings==12.9.4
|
| 531 |
+
langchain==0.3.27
|
| 532 |
+
array_record==0.8.3
|
| 533 |
+
google-cloud-appengine-logging==1.7.0
|
| 534 |
+
requests-oauthlib==2.0.0
|
| 535 |
+
lxml==5.4.0
|
| 536 |
+
rsa==4.9.1
|
| 537 |
+
thinc==8.3.10
|
| 538 |
+
tomlkit==0.13.3
|
| 539 |
+
blis==1.3.3
|
| 540 |
+
opentelemetry-sdk==1.37.0
|
| 541 |
+
kaggle==1.7.4.5
|
| 542 |
+
tcmlib==1.4.1
|
| 543 |
+
holidays==0.85
|
| 544 |
+
multidict==6.7.0
|
| 545 |
+
accelerate==1.11.0
|
| 546 |
+
pyerfa==2.0.1.5
|
| 547 |
+
babel==2.17.0
|
| 548 |
+
google-api-python-client==2.187.0
|
| 549 |
+
cffi==2.0.0
|
| 550 |
+
soupsieve==2.8
|
| 551 |
+
opencv-python==4.12.0.88
|
| 552 |
+
rapids-dask-dependency==25.10.0
|
| 553 |
+
chex==0.1.90
|
| 554 |
+
google-cloud-translate==3.23.0
|
| 555 |
+
python-snappy==0.7.3
|
| 556 |
+
xarray==2025.11.0
|
| 557 |
+
pillow==11.3.0
|
| 558 |
+
uritemplate==4.2.0
|
| 559 |
+
Cython==3.0.12
|
| 560 |
+
tensorflow-datasets==4.9.9
|
| 561 |
+
mkl==2025.2.0
|
| 562 |
+
cvxpy==1.6.7
|
| 563 |
+
spacy-loggers==1.0.5
|
| 564 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
| 565 |
+
spacy-legacy==3.0.12
|
| 566 |
+
fastrlock==0.8.3
|
| 567 |
+
aiosignal==1.4.0
|
| 568 |
+
osqp==1.0.5
|
| 569 |
+
astunparse==1.6.3
|
| 570 |
+
py-cpuinfo==9.0.0
|
| 571 |
+
nbclassic==1.3.3
|
| 572 |
+
pycryptodomex==3.23.0
|
| 573 |
+
anyio==4.11.0
|
| 574 |
+
ydf==0.13.0
|
| 575 |
+
parsy==2.2
|
| 576 |
+
einops==0.8.1
|
| 577 |
+
iniconfig==2.3.0
|
| 578 |
+
cycler==0.12.1
|
| 579 |
+
h5py==3.15.1
|
| 580 |
+
libclang==18.1.1
|
| 581 |
+
gdown==5.2.0
|
| 582 |
+
wasabi==1.1.3
|
| 583 |
+
httpx==0.28.1
|
| 584 |
+
termcolor==3.2.0
|
| 585 |
+
umf==1.0.2
|
| 586 |
+
mizani==0.13.5
|
| 587 |
+
astropy==7.1.1
|
| 588 |
+
opentelemetry-exporter-gcp-trace==1.11.0
|
| 589 |
+
pandas-datareader==0.10.0
|
| 590 |
+
nvidia-nvjitlink-cu12==12.6.85
|
| 591 |
+
pickleshare==0.7.5
|
| 592 |
+
community==1.0.0b1
|
| 593 |
+
prophet==1.1.7
|
| 594 |
+
jupyterlab_pygments==0.3.0
|
| 595 |
+
requests-toolbelt==1.0.0
|
| 596 |
+
gradio_client==1.13.3
|
| 597 |
+
pydantic==2.11.10
|
| 598 |
+
google-cloud-logging==3.12.1
|
| 599 |
+
google-cloud-storage==2.19.0
|
| 600 |
+
intel-openmp==2025.3.1
|
| 601 |
+
tifffile==2025.10.16
|
| 602 |
+
colorcet==3.1.0
|
| 603 |
+
google-cloud-speech==2.34.0
|
| 604 |
+
notebook_shim==0.2.4
|
| 605 |
+
xlrd==2.0.2
|
| 606 |
+
httpx-sse==0.4.3
|
| 607 |
+
backcall==0.2.0
|
| 608 |
+
blosc2==3.11.1
|
| 609 |
+
sortedcontainers==2.4.0
|
| 610 |
+
opentelemetry-exporter-otlp-proto-common==1.37.0
|
| 611 |
+
sentencepiece==0.2.1
|
| 612 |
+
six==1.17.0
|
| 613 |
+
google-pasta==0.2.0
|
| 614 |
+
sphinxcontrib-htmlhelp==2.1.0
|
| 615 |
+
zipp==3.23.0
|
| 616 |
+
jupyter-leaflet==0.20.0
|
| 617 |
+
jeepney==0.9.0
|
| 618 |
+
cons==0.4.7
|
| 619 |
+
markdown-it-py==4.0.0
|
| 620 |
+
wordcloud==1.9.4
|
| 621 |
+
opencv-contrib-python==4.12.0.88
|
| 622 |
+
opentelemetry-exporter-otlp-proto-http==1.37.0
|
| 623 |
+
absolufy-imports==0.3.1
|
| 624 |
+
psycopg2==2.9.11
|
| 625 |
+
groovy==0.1.2
|
| 626 |
+
CacheControl==0.14.4
|
| 627 |
+
arrow==1.4.0
|
| 628 |
+
ipyevents==2.0.4
|
| 629 |
+
tzdata==2025.2
|
| 630 |
+
nvidia-nvtx-cu12==12.6.77
|
| 631 |
+
Sphinx==8.2.3
|
| 632 |
+
tsfresh==0.21.1
|
| 633 |
+
jupyter-events==0.12.0
|
| 634 |
+
partd==1.4.2
|
| 635 |
+
platformdirs==4.5.0
|
| 636 |
+
SecretStorage==3.4.1
|
| 637 |
+
narwhals==2.12.0
|
| 638 |
+
sqlalchemy-spanner==1.17.1
|
| 639 |
+
watchdog==6.0.0
|
| 640 |
+
nbconvert==7.16.6
|
| 641 |
+
google-cloud-trace==1.17.0
|
| 642 |
+
cuda-pathfinder==1.3.2
|
| 643 |
+
proto-plus==1.26.1
|
| 644 |
+
notebook==6.5.7
|
| 645 |
+
fastcore==1.8.16
|
| 646 |
+
pluggy==1.6.0
|
| 647 |
+
etuples==0.3.10
|
| 648 |
+
gast==0.6.0
|
| 649 |
+
PyYAML==6.0.3
|
| 650 |
+
opentelemetry-semantic-conventions==0.58b0
|
| 651 |
+
ml_dtypes==0.5.4
|
| 652 |
+
google-cloud-monitoring==2.28.0
|
| 653 |
+
pyasn1_modules==0.4.2
|
| 654 |
+
cvxopt==1.3.2
|
| 655 |
+
contourpy==1.3.3
|
| 656 |
+
gin-config==0.5.0
|
| 657 |
+
certifi==2025.11.12
|
| 658 |
+
jsonpickle==4.1.1
|
| 659 |
+
wrapt==2.0.1
|
| 660 |
+
keras-hub==0.21.1
|
| 661 |
+
torchvision==0.24.0+cu126
|
| 662 |
+
yarl==1.22.0
|
| 663 |
+
jupyterlab_widgets==3.0.16
|
| 664 |
+
py4j==0.10.9.7
|
| 665 |
+
Pygments==2.19.2
|
| 666 |
+
python-box==7.3.2
|
| 667 |
+
albucore==0.0.24
|
| 668 |
+
nvidia-cuda-cccl-cu12==12.9.27
|
| 669 |
+
jax-cuda12-pjrt==0.7.2
|
| 670 |
+
fastprogress==1.0.3
|
| 671 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 672 |
+
geocoder==1.38.1
|
| 673 |
+
cudf-polars-cu12==25.10.0
|
| 674 |
+
python-apt==0.0.0
|
| 675 |
+
httplib2==0.20.2
|
| 676 |
+
more-itertools==8.10.0
|
| 677 |
+
oauthlib==3.2.0
|
| 678 |
+
pyparsing==2.4.7
|
| 679 |
+
PyGObject==3.42.1
|
| 680 |
+
lazr.restfulclient==0.14.4
|
| 681 |
+
lazr.uri==1.0.6
|
| 682 |
+
PyJWT==2.3.0
|
| 683 |
+
blinker==1.4
|
| 684 |
+
python-apt==2.4.0+ubuntu4
|
| 685 |
+
launchpadlib==1.10.16
|
| 686 |
+
six==1.16.0
|
| 687 |
+
zipp==1.0.0
|
| 688 |
+
importlib-metadata==4.6.4
|
| 689 |
+
dbus-python==1.2.18
|
| 690 |
+
wadllib==1.3.6
|
| 691 |
+
cryptography==3.4.8
|
| 692 |
+
distro==1.7.0
|
| 693 |
+
keyring==23.5.0
|
| 694 |
+
SecretStorage==3.3.1
|
| 695 |
+
jeepney==0.7.1
|
| 696 |
+
Markdown==3.3.6
|
| 697 |
+
Mako==1.1.3
|
| 698 |
+
MarkupSafe==2.0.1
|
wandb_logs/run-20251122_162012-g5qyspo9/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
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| 29 |
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2025-11-22 16:26:04,474 INFO MainThread:3876 [wandb_run.py:_footer_sync_info():3853] logging synced files
|
wandb_logs/run-20251122_162012-g5qyspo9/run-g5qyspo9.wandb
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:45424c5800ccbd541b5e07bb6ce03e35e88167d663310e93a419580f69ac50bd
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| 3 |
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size 236401
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wandb_logs/run-20251122_162942-hn6dt5mn/files/config.yaml
ADDED
|
@@ -0,0 +1,542 @@
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: ai4bharat/indic-bert
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.23.0
|
| 6 |
+
e:
|
| 7 |
+
en6drmm19e2tkcdyvyd08jg6sqs09azz:
|
| 8 |
+
args:
|
| 9 |
+
- configs/indic_data2.json
|
| 10 |
+
codePath: train.py
|
| 11 |
+
codePathLocal: train.py
|
| 12 |
+
cpu_count: 1
|
| 13 |
+
cpu_count_logical: 2
|
| 14 |
+
cudaVersion: "12.4"
|
| 15 |
+
disk:
|
| 16 |
+
/:
|
| 17 |
+
total: "120942624768"
|
| 18 |
+
used: "56366931968"
|
| 19 |
+
email: [email protected]
|
| 20 |
+
executable: /usr/bin/python3
|
| 21 |
+
git:
|
| 22 |
+
commit: de0702477fe9412790ab872e2d1361a32e068b2d
|
| 23 |
+
remote: https://h3110Fr13nd:@github.com/h3110Fr13nd/code-switch-identification-model.git
|
| 24 |
+
gpu: Tesla T4
|
| 25 |
+
gpu_count: 1
|
| 26 |
+
gpu_nvidia:
|
| 27 |
+
- architecture: Turing
|
| 28 |
+
cudaCores: 2560
|
| 29 |
+
memoryTotal: "16106127360"
|
| 30 |
+
name: Tesla T4
|
| 31 |
+
uuid: GPU-d740f133-e3a8-f36c-28a2-52b7659451f1
|
| 32 |
+
host: f0da10c9a12b
|
| 33 |
+
memory:
|
| 34 |
+
total: "13605842944"
|
| 35 |
+
os: Linux-6.6.105+-x86_64-with-glibc2.35
|
| 36 |
+
program: /content/code-switch-identification-model/train.py
|
| 37 |
+
python: CPython 3.12.12
|
| 38 |
+
root: /content/code-switch-identification-model
|
| 39 |
+
startedAt: "2025-11-22T16:29:42.811089Z"
|
| 40 |
+
writerId: en6drmm19e2tkcdyvyd08jg6sqs09azz
|
| 41 |
+
m:
|
| 42 |
+
- "1": train/global_step
|
| 43 |
+
"6":
|
| 44 |
+
- 3
|
| 45 |
+
"7": []
|
| 46 |
+
- "2": '*'
|
| 47 |
+
"5": 1
|
| 48 |
+
"6":
|
| 49 |
+
- 1
|
| 50 |
+
"7": []
|
| 51 |
+
python_version: 3.12.12
|
| 52 |
+
t:
|
| 53 |
+
"1":
|
| 54 |
+
- 1
|
| 55 |
+
- 2
|
| 56 |
+
- 3
|
| 57 |
+
- 5
|
| 58 |
+
- 11
|
| 59 |
+
- 12
|
| 60 |
+
- 41
|
| 61 |
+
- 49
|
| 62 |
+
- 51
|
| 63 |
+
- 53
|
| 64 |
+
- 71
|
| 65 |
+
- 98
|
| 66 |
+
- 100
|
| 67 |
+
- 105
|
| 68 |
+
"2":
|
| 69 |
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- 1
|
| 70 |
+
- 2
|
| 71 |
+
- 3
|
| 72 |
+
- 5
|
| 73 |
+
- 11
|
| 74 |
+
- 12
|
| 75 |
+
- 41
|
| 76 |
+
- 49
|
| 77 |
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- 51
|
| 78 |
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- 53
|
| 79 |
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- 71
|
| 80 |
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- 98
|
| 81 |
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- 100
|
| 82 |
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- 105
|
| 83 |
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"3":
|
| 84 |
+
- 2
|
| 85 |
+
- 7
|
| 86 |
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- 13
|
| 87 |
+
- 15
|
| 88 |
+
- 16
|
| 89 |
+
- 19
|
| 90 |
+
- 62
|
| 91 |
+
- 66
|
| 92 |
+
"4": 3.12.12
|
| 93 |
+
"5": 0.23.0
|
| 94 |
+
"6": 4.57.1
|
| 95 |
+
"9":
|
| 96 |
+
"1": transformers_trainer
|
| 97 |
+
"12": 0.23.0
|
| 98 |
+
"13": linux-x86_64
|
| 99 |
+
accelerator_config:
|
| 100 |
+
value:
|
| 101 |
+
dispatch_batches: null
|
| 102 |
+
even_batches: true
|
| 103 |
+
gradient_accumulation_kwargs: null
|
| 104 |
+
non_blocking: false
|
| 105 |
+
split_batches: false
|
| 106 |
+
use_seedable_sampler: true
|
| 107 |
+
adafactor:
|
| 108 |
+
value: false
|
| 109 |
+
adam_beta1:
|
| 110 |
+
value: 0.9
|
| 111 |
+
adam_beta2:
|
| 112 |
+
value: 0.999
|
| 113 |
+
adam_epsilon:
|
| 114 |
+
value: 1e-08
|
| 115 |
+
add_cross_attention:
|
| 116 |
+
value: false
|
| 117 |
+
architectures:
|
| 118 |
+
value: null
|
| 119 |
+
attention_probs_dropout_prob:
|
| 120 |
+
value: 0
|
| 121 |
+
auto_find_batch_size:
|
| 122 |
+
value: false
|
| 123 |
+
average_tokens_across_devices:
|
| 124 |
+
value: true
|
| 125 |
+
bad_words_ids:
|
| 126 |
+
value: null
|
| 127 |
+
batch_eval_metrics:
|
| 128 |
+
value: false
|
| 129 |
+
batch_size:
|
| 130 |
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value: 16
|
| 131 |
+
begin_suppress_tokens:
|
| 132 |
+
value: null
|
| 133 |
+
bf16:
|
| 134 |
+
value: false
|
| 135 |
+
bf16_full_eval:
|
| 136 |
+
value: false
|
| 137 |
+
bos_token_id:
|
| 138 |
+
value: 2
|
| 139 |
+
chunk_size_feed_forward:
|
| 140 |
+
value: 0
|
| 141 |
+
classifier_dropout_prob:
|
| 142 |
+
value: 0.1
|
| 143 |
+
cross_attention_hidden_size:
|
| 144 |
+
value: null
|
| 145 |
+
data_seed:
|
| 146 |
+
value: null
|
| 147 |
+
dataloader_drop_last:
|
| 148 |
+
value: false
|
| 149 |
+
dataloader_num_workers:
|
| 150 |
+
value: 0
|
| 151 |
+
dataloader_persistent_workers:
|
| 152 |
+
value: false
|
| 153 |
+
dataloader_pin_memory:
|
| 154 |
+
value: true
|
| 155 |
+
dataloader_prefetch_factor:
|
| 156 |
+
value: null
|
| 157 |
+
ddp_backend:
|
| 158 |
+
value: null
|
| 159 |
+
ddp_broadcast_buffers:
|
| 160 |
+
value: null
|
| 161 |
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| 165 |
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decoder_start_token_id:
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deepspeed:
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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|
| 182 |
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|
| 183 |
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do_train:
|
| 184 |
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| 185 |
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down_scale_factor:
|
| 186 |
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value: 1
|
| 187 |
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dtype:
|
| 188 |
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value: float32
|
| 189 |
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early_stopping:
|
| 190 |
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|
| 191 |
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embedding_size:
|
| 192 |
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value: 128
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| 193 |
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| 195 |
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epochs:
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eval_do_concat_batches:
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|
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|
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| 215 |
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|
| 216 |
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| 219 |
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|
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|
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|
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fp16_full_eval:
|
| 226 |
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fp16_opt_level:
|
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fsdp:
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value:
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xla: false
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xla_fsdp_v2: false
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|
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fsdp_transformer_layer_cls_to_wrap:
|
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value: null
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full_determinism:
|
| 242 |
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value: false
|
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gap_size:
|
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value: 0
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gradient_accumulation_steps:
|
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value: 1
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gradient_checkpointing:
|
| 248 |
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value: false
|
| 249 |
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gradient_checkpointing_kwargs:
|
| 250 |
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value: null
|
| 251 |
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greater_is_better:
|
| 252 |
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value: true
|
| 253 |
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group_by_length:
|
| 254 |
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value: false
|
| 255 |
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half_precision_backend:
|
| 256 |
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value: auto
|
| 257 |
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hidden_act:
|
| 258 |
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value: gelu
|
| 259 |
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hidden_dropout_prob:
|
| 260 |
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| 261 |
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hidden_size:
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value: 768
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hub_always_push:
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hub_model_id:
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value: h3110Fr13nd/guj-eng-code-switch-indic-bert-data2
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hub_private_repo:
|
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value: false
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|
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|
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value: end
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hub_token:
|
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value: <HUB_TOKEN>
|
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id2label:
|
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value:
|
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|
| 278 |
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|
| 279 |
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"2": I-GUJ
|
| 280 |
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"3": B-ENG
|
| 281 |
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"4": I-ENG
|
| 282 |
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ignore_data_skip:
|
| 283 |
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value: false
|
| 284 |
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include_for_metrics:
|
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| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
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|
| 293 |
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|
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inner_group_num:
|
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|
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|
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|
| 299 |
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|
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|
| 301 |
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|
| 302 |
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jit_mode_eval:
|
| 303 |
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value: false
|
| 304 |
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label_names:
|
| 305 |
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value: null
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| 306 |
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label_smoothing_factor:
|
| 307 |
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value: 0
|
| 308 |
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label2id:
|
| 309 |
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value:
|
| 310 |
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B-ENG: 3
|
| 311 |
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B-GUJ: 1
|
| 312 |
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I-ENG: 4
|
| 313 |
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I-GUJ: 2
|
| 314 |
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O: 0
|
| 315 |
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layer_norm_eps:
|
| 316 |
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value: 1e-12
|
| 317 |
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learning_rate:
|
| 318 |
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value: 2e-05
|
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length_column_name:
|
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|
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liger_kernel_config:
|
| 324 |
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value: null
|
| 325 |
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load_best_model_at_end:
|
| 326 |
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value: true
|
| 327 |
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local_rank:
|
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log_level:
|
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|
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log_level_replica:
|
| 332 |
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value: warning
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| 333 |
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log_on_each_node:
|
| 334 |
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value: true
|
| 335 |
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logging_dir:
|
| 336 |
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value: ./models/indic-bert-data2/logs
|
| 337 |
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logging_first_step:
|
| 338 |
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|
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logging_nan_inf_filter:
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logging_steps:
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logging_strategy:
|
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value: steps
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lr_scheduler_type:
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| 346 |
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value: linear
|
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max_grad_norm:
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value: 1
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max_length:
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value: 20
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max_position_embeddings:
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value: 512
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max_steps:
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value: -1
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metric_for_best_model:
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| 356 |
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value: f1
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min_length:
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value: 0
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model:
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| 360 |
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value: ai4bharat/indic-bert
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model/num_parameters:
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value: 32856837
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model_type:
|
| 364 |
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value: albert
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mp_parameters:
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value: ""
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neftune_noise_alpha:
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value: null
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net_structure_type:
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value: 0
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no_cuda:
|
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value: false
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no_repeat_ngram_size:
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value: 0
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| 375 |
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num_attention_heads:
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value: 12
|
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num_beam_groups:
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value: 1
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num_beams:
|
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value: 1
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num_hidden_groups:
|
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value: 1
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num_hidden_layers:
|
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value: 12
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num_memory_blocks:
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value: 0
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num_return_sequences:
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| 388 |
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value: 1
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num_train_epochs:
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value: 3
|
| 391 |
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optim:
|
| 392 |
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value: adamw_torch_fused
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optim_args:
|
| 394 |
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value: null
|
| 395 |
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optim_target_modules:
|
| 396 |
+
value: null
|
| 397 |
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output_attentions:
|
| 398 |
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value: false
|
| 399 |
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output_dir:
|
| 400 |
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value: ./models/indic-bert-data2
|
| 401 |
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output_hidden_states:
|
| 402 |
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value: false
|
| 403 |
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output_scores:
|
| 404 |
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value: false
|
| 405 |
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overwrite_output_dir:
|
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value: true
|
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pad_token_id:
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value: 0
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parallelism_config:
|
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value: null
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past_index:
|
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value: -1
|
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per_device_eval_batch_size:
|
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value: 32
|
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per_device_train_batch_size:
|
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value: 16
|
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per_gpu_eval_batch_size:
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value: null
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per_gpu_train_batch_size:
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value: null
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position_embedding_type:
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value: absolute
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prediction_loss_only:
|
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value: false
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| 425 |
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prefix:
|
| 426 |
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value: null
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| 427 |
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problem_type:
|
| 428 |
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value: null
|
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project:
|
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value: huggingface
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push_to_hub:
|
| 432 |
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value: true
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| 433 |
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push_to_hub_model_id:
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value: guj-eng-code-switch-indic-bert-data2
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push_to_hub_organization:
|
| 436 |
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value: null
|
| 437 |
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push_to_hub_token:
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| 438 |
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value: <PUSH_TO_HUB_TOKEN>
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| 439 |
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ray_scope:
|
| 440 |
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value: last
|
| 441 |
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remove_invalid_values:
|
| 442 |
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value: false
|
| 443 |
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remove_unused_columns:
|
| 444 |
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value: true
|
| 445 |
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repetition_penalty:
|
| 446 |
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value: 1
|
| 447 |
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report_to:
|
| 448 |
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value:
|
| 449 |
+
- tensorboard
|
| 450 |
+
- wandb
|
| 451 |
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restore_callback_states_from_checkpoint:
|
| 452 |
+
value: false
|
| 453 |
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resume_from_checkpoint:
|
| 454 |
+
value: null
|
| 455 |
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return_dict:
|
| 456 |
+
value: true
|
| 457 |
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return_dict_in_generate:
|
| 458 |
+
value: false
|
| 459 |
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run_name:
|
| 460 |
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value: null
|
| 461 |
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save_on_each_node:
|
| 462 |
+
value: false
|
| 463 |
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save_only_model:
|
| 464 |
+
value: false
|
| 465 |
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save_safetensors:
|
| 466 |
+
value: true
|
| 467 |
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save_steps:
|
| 468 |
+
value: null
|
| 469 |
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save_strategy:
|
| 470 |
+
value: epoch
|
| 471 |
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save_total_limit:
|
| 472 |
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value: 3
|
| 473 |
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seed:
|
| 474 |
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value: 42
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sep_token_id:
|
| 476 |
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value: null
|
| 477 |
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skip_memory_metrics:
|
| 478 |
+
value: true
|
| 479 |
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suppress_tokens:
|
| 480 |
+
value: null
|
| 481 |
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task_specific_params:
|
| 482 |
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value: null
|
| 483 |
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temperature:
|
| 484 |
+
value: 1
|
| 485 |
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tf_legacy_loss:
|
| 486 |
+
value: false
|
| 487 |
+
tf32:
|
| 488 |
+
value: null
|
| 489 |
+
tie_encoder_decoder:
|
| 490 |
+
value: false
|
| 491 |
+
tie_word_embeddings:
|
| 492 |
+
value: true
|
| 493 |
+
tokenizer_class:
|
| 494 |
+
value: null
|
| 495 |
+
top_k:
|
| 496 |
+
value: 50
|
| 497 |
+
top_p:
|
| 498 |
+
value: 1
|
| 499 |
+
torch_compile:
|
| 500 |
+
value: false
|
| 501 |
+
torch_compile_backend:
|
| 502 |
+
value: null
|
| 503 |
+
torch_compile_mode:
|
| 504 |
+
value: null
|
| 505 |
+
torch_empty_cache_steps:
|
| 506 |
+
value: null
|
| 507 |
+
torchdynamo:
|
| 508 |
+
value: null
|
| 509 |
+
torchscript:
|
| 510 |
+
value: false
|
| 511 |
+
tpu_metrics_debug:
|
| 512 |
+
value: false
|
| 513 |
+
tpu_num_cores:
|
| 514 |
+
value: null
|
| 515 |
+
trackio_space_id:
|
| 516 |
+
value: trackio
|
| 517 |
+
train_file:
|
| 518 |
+
value: synthetic_data_gen/data2/train.txt
|
| 519 |
+
transformers_version:
|
| 520 |
+
value: 4.57.1
|
| 521 |
+
type_vocab_size:
|
| 522 |
+
value: 2
|
| 523 |
+
typical_p:
|
| 524 |
+
value: 1
|
| 525 |
+
use_bfloat16:
|
| 526 |
+
value: false
|
| 527 |
+
use_cpu:
|
| 528 |
+
value: false
|
| 529 |
+
use_legacy_prediction_loop:
|
| 530 |
+
value: false
|
| 531 |
+
use_liger_kernel:
|
| 532 |
+
value: false
|
| 533 |
+
use_mps_device:
|
| 534 |
+
value: false
|
| 535 |
+
vocab_size:
|
| 536 |
+
value: 200000
|
| 537 |
+
warmup_ratio:
|
| 538 |
+
value: 0.1
|
| 539 |
+
warmup_steps:
|
| 540 |
+
value: 0
|
| 541 |
+
weight_decay:
|
| 542 |
+
value: 0.01
|
wandb_logs/run-20251122_162942-hn6dt5mn/files/output.log
ADDED
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
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|
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| 1 |
+
|
| 2 |
+
_| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|
|
| 3 |
+
_| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 4 |
+
_|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|
|
| 5 |
+
_| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 6 |
+
_| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|
|
| 7 |
+
Enter your token (input will not be visible):
|
| 8 |
+
|
| 9 |
+
[1m[31mCannot authenticate through git-credential as no helper is defined on your machine.
|
| 10 |
+
You might have to re-authenticate when pushing to the Hugging Face Hub.
|
| 11 |
+
Run the following command in your terminal in case you want to set the 'store' credential helper as default.
|
| 12 |
+
|
| 13 |
+
git config --global credential.helper store
|
| 14 |
+
|
| 15 |
+
Read https://git-scm.com/book/en/v2/Git-Tools-Credential-Storage for more details.[0m
|
| 16 |
+
Token has not been saved to git credential helper.
|
| 17 |
+
WARNING:huggingface_hub._login:Token has not been saved to git credential helper.
|
| 18 |
+
config.json: 100% 507/507 [00:00<00:00, 2.16MB/s]
|
| 19 |
+
spiece.model: 100% 5.65M/5.65M [00:00<00:00, 27.4MB/s]
|
| 20 |
+
pytorch_model.bin: 100% 135M/135M [00:02<00:00, 64.2MB/s]
|
| 21 |
+
Some weights of AlbertForTokenClassification were not initialized from the model checkpoint at ai4bharat/indic-bert and are newly initialized: ['classifier.bias', 'classifier.weight']
|
| 22 |
+
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
|
| 23 |
+
100% 492/492 [01:34<00:00, 5.23it/s]
|
| 24 |
+
{'loss': 1.5808, 'grad_norm': 8.045380592346191, 'learning_rate': 0.0, 'epoch': 0.01}
|
| 25 |
+
{'loss': 1.3, 'grad_norm': 3.5511159896850586, 'learning_rate': 1.9600000000000002e-05, 'epoch': 0.3}
|
| 26 |
+
{'loss': 0.6728, 'grad_norm': 5.11202335357666, 'learning_rate': 1.7782805429864253e-05, 'epoch': 0.61}
|
| 27 |
+
{'loss': 0.417, 'grad_norm': 1.9782381057739258, 'learning_rate': 1.552036199095023e-05, 'epoch': 0.91}
|
| 28 |
+
Processing Files (5 / 5) : 100% 152M/152M [00:01<00:00, 84.4MB/s, 95.3MB/s ]
|
| 29 |
+
{'eval_loss': 0.2685639560222626, 'eval_precision': 0.7524509803921569, 'eval_recall': 0.7181286549707603, 'eval_f1': 0.7348892878515858, 'eval_accuracy': 0.9420940970922251, 'eval_runtime': 2.0193, 'eval_samples_per_second': 161.439, 'eval_steps_per_second': 5.447, 'epoch': 1.0}
|
| 30 |
+
{'loss': 0.2787, 'grad_norm': 18.289146423339844, 'learning_rate': 1.32579185520362e-05, 'epoch': 1.22}
|
| 31 |
+
{'loss': 0.2075, 'grad_norm': 5.472610950469971, 'learning_rate': 1.0995475113122173e-05, 'epoch': 1.52}
|
| 32 |
+
{'loss': 0.1602, 'grad_norm': 3.2986786365509033, 'learning_rate': 8.733031674208145e-06, 'epoch': 1.83}
|
| 33 |
+
{'eval_loss': 0.1436997503042221, 'eval_precision': 0.8707403055229143, 'eval_recall': 0.8666666666666667, 'eval_f1': 0.8686987104337633, 'eval_accuracy': 0.9660551603644079, 'eval_runtime': 2.0934, 'eval_samples_per_second': 155.727, 'eval_steps_per_second': 5.255, 'epoch': 2.0}
|
| 34 |
+
{'loss': 0.1614, 'grad_norm': 2.817918539047241, 'learning_rate': 6.470588235294119e-06, 'epoch': 2.13}
|
| 35 |
+
{'loss': 0.1301, 'grad_norm': 3.798708915710449, 'learning_rate': 4.208144796380091e-06, 'epoch': 2.44}
|
| 36 |
+
{'loss': 0.132, 'grad_norm': 4.0428009033203125, 'learning_rate': 1.9457013574660634e-06, 'epoch': 2.74}
|
| 37 |
+
{'eval_loss': 0.0999612882733345, 'eval_precision': 0.8868360277136259, 'eval_recall': 0.8982456140350877, 'eval_f1': 0.8925043579314353, 'eval_accuracy': 0.9772869087732435, 'eval_runtime': 2.1245, 'eval_samples_per_second': 153.451, 'eval_steps_per_second': 5.178, 'epoch': 3.0}
|
| 38 |
+
{'train_runtime': 94.1349, 'train_samples_per_second': 83.147, 'train_steps_per_second': 5.227, 'train_loss': 0.3611367323049685, 'epoch': 3.0}
|
| 39 |
+
New Data Upload : 100% 15.2k/15.2k [00:01<00:00, 8.40kB/s, 9.48kB/s ]
|
| 40 |
+
...t-data2/model.safetensors: 100% 131M/131M [00:01<00:00, 88.5MB/s]
|
| 41 |
+
...bert-data2/tokenizer.json: 100% 15.3M/15.3M [00:01<?, ?B/s]
|
| 42 |
+
...c-bert-data2/spiece.model: 100% 5.65M/5.65M [00:00<?, ?B/s]
|
| 43 |
+
...29023.f0da10c9a12b.6429.0: 100% 9.26k/9.26k [00:00<?, ?B/s]
|
| 44 |
+
...t-data2/training_args.bin: 100% 5.91k/5.91k [00:00<?, ?B/s]
|
| 45 |
+
Processing Files (5 / 5) : 100% 152M/152M [00:01<00:00, 84.3MB/s, 81.2MB/s ]
|
| 46 |
+
New Data Upload : | | 0.00B / 0.00B, 0.00B/s
|
| 47 |
+
...t-data2/training_args.bin: 100% 5.91k/5.91k [00:01<?, ?B/s]
|
| 48 |
+
...29023.f0da10c9a12b.6429.0: 100% 9.26k/9.26k [00:01<?, ?B/s]
|
| 49 |
+
...c-bert-data2/spiece.model: 100% 5.65M/5.65M [00:01<?, ?B/s]
|
| 50 |
+
...t-data2/model.safetensors: 100% 131M/131M [00:01<00:00, 76.8MB/s]
|
| 51 |
+
...bert-data2/tokenizer.json: 100% 15.3M/15.3M [00:01<00:00, 4.34MB/s]
|
| 52 |
+
No files have been modified since last commit. Skipping to prevent empty commit.
|
| 53 |
+
WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.
|
| 54 |
+
***** train metrics *****
|
| 55 |
+
epoch = 3.0
|
| 56 |
+
total_flos = 20092GF
|
| 57 |
+
train_loss = 0.3611
|
| 58 |
+
train_runtime = 0:01:34.13
|
| 59 |
+
train_samples_per_second = 83.147
|
| 60 |
+
train_steps_per_second = 5.227
|
| 61 |
+
100% 11/11 [00:01<00:00, 5.53it/s]
|
| 62 |
+
***** eval metrics *****
|
| 63 |
+
epoch = 3.0
|
| 64 |
+
eval_accuracy = 0.9773
|
| 65 |
+
eval_f1 = 0.8925
|
| 66 |
+
eval_loss = 0.1
|
| 67 |
+
eval_precision = 0.8868
|
| 68 |
+
eval_recall = 0.8982
|
| 69 |
+
eval_runtime = 0:00:02.10
|
| 70 |
+
eval_samples_per_second = 154.506
|
| 71 |
+
eval_steps_per_second = 5.213
|
| 72 |
+
91% 10/11 [00:00<00:00, 9.30it/s]early stopping required metric_for_best_model, but did not find eval_f1 so early stopping is disabled
|
| 73 |
+
100% 11/11 [00:01<00:00, 6.60it/s]
|
| 74 |
+
***** test metrics *****
|
| 75 |
+
epoch = 3.0
|
| 76 |
+
test_accuracy = 0.9755
|
| 77 |
+
test_f1 = 0.893
|
| 78 |
+
test_loss = 0.1121
|
| 79 |
+
test_precision = 0.8925
|
| 80 |
+
test_recall = 0.8935
|
| 81 |
+
test_runtime = 0:00:01.80
|
| 82 |
+
test_samples_per_second = 181.116
|
| 83 |
+
test_steps_per_second = 6.093
|
wandb_logs/run-20251122_162942-hn6dt5mn/files/requirements.txt
ADDED
|
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|
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|
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|
|
|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
setuptools==75.2.0
|
| 2 |
+
pip==24.1.2
|
| 3 |
+
requirements-parser==0.9.0
|
| 4 |
+
types-setuptools==80.9.0.20250822
|
| 5 |
+
ipykernel==7.1.0
|
| 6 |
+
tensorboard==2.20.0
|
| 7 |
+
numpy==2.3.5
|
| 8 |
+
pyarrow==22.0.0
|
| 9 |
+
matplotlib==3.10.7
|
| 10 |
+
widgetsnbextension==4.0.15
|
| 11 |
+
seqeval==1.2.2
|
| 12 |
+
ipywidgets==8.1.8
|
| 13 |
+
datasets==4.4.1
|
| 14 |
+
pandas==2.3.3
|
| 15 |
+
comm==0.2.3
|
| 16 |
+
google-genai==1.50.1
|
| 17 |
+
scikit-learn==1.7.2
|
| 18 |
+
evaluate==0.4.6
|
| 19 |
+
jedi==0.19.2
|
| 20 |
+
jupyter_client==8.6.3
|
| 21 |
+
google-colab==1.0.0
|
| 22 |
+
httpcore==1.0.9
|
| 23 |
+
colorlover==0.3.0
|
| 24 |
+
pyOpenSSL==24.2.1
|
| 25 |
+
PySocks==1.7.1
|
| 26 |
+
fsspec==2025.3.0
|
| 27 |
+
google-ai-generativelanguage==0.6.15
|
| 28 |
+
dlib==19.24.6
|
| 29 |
+
fastdownload==0.0.7
|
| 30 |
+
jaxlib==0.7.2
|
| 31 |
+
python-multipart==0.0.20
|
| 32 |
+
nltk==3.9.1
|
| 33 |
+
chardet==5.2.0
|
| 34 |
+
pyparsing==3.2.5
|
| 35 |
+
sentry-sdk==2.45.0
|
| 36 |
+
audioread==3.1.0
|
| 37 |
+
langchain-core==0.3.80
|
| 38 |
+
jaraco.classes==3.4.0
|
| 39 |
+
cymem==2.0.13
|
| 40 |
+
vega-datasets==0.9.0
|
| 41 |
+
docstring_parser==0.17.0
|
| 42 |
+
nest-asyncio==1.6.0
|
| 43 |
+
mlxtend==0.23.4
|
| 44 |
+
xyzservices==2025.10.0
|
| 45 |
+
more-itertools==10.8.0
|
| 46 |
+
torchao==0.10.0
|
| 47 |
+
numba==0.60.0
|
| 48 |
+
panel==1.8.3
|
| 49 |
+
docutils==0.21.2
|
| 50 |
+
holoviews==1.22.0
|
| 51 |
+
attrs==25.4.0
|
| 52 |
+
db-dtypes==1.4.4
|
| 53 |
+
tabulate==0.9.0
|
| 54 |
+
pydotplus==2.0.2
|
| 55 |
+
soundfile==0.13.1
|
| 56 |
+
sklearn-pandas==2.2.0
|
| 57 |
+
multitasking==0.0.12
|
| 58 |
+
glob2==0.7
|
| 59 |
+
nvidia-cusolver-cu12==11.7.1.2
|
| 60 |
+
google-adk==1.17.0
|
| 61 |
+
alabaster==1.0.0
|
| 62 |
+
mdit-py-plugins==0.5.0
|
| 63 |
+
intel-cmplr-lib-ur==2025.3.1
|
| 64 |
+
nvidia-cufft-cu12==11.3.0.4
|
| 65 |
+
google-cloud-bigquery-connection==1.19.0
|
| 66 |
+
polars==1.31.0
|
| 67 |
+
openai==1.109.1
|
| 68 |
+
google-cloud-spanner==3.59.0
|
| 69 |
+
patsy==1.0.2
|
| 70 |
+
pytest==8.4.2
|
| 71 |
+
pycparser==2.23
|
| 72 |
+
curl_cffi==0.13.0
|
| 73 |
+
linkify-it-py==2.0.3
|
| 74 |
+
imutils==0.5.4
|
| 75 |
+
Markdown==3.10
|
| 76 |
+
pandas-stubs==2.2.2.240909
|
| 77 |
+
pooch==1.8.2
|
| 78 |
+
pandas-gbq==0.30.0
|
| 79 |
+
google-cloud-dataproc==5.23.0
|
| 80 |
+
google-cloud-language==2.18.0
|
| 81 |
+
jupyter_kernel_gateway==2.5.2
|
| 82 |
+
google-resumable-media==2.8.0
|
| 83 |
+
nvidia-cuda-runtime-cu12==12.6.77
|
| 84 |
+
dask-cudf-cu12==25.10.0
|
| 85 |
+
websocket-client==1.9.0
|
| 86 |
+
distributed-ucxx-cu12==0.46.0
|
| 87 |
+
altair==5.5.0
|
| 88 |
+
idna==3.11
|
| 89 |
+
wandb==0.23.0
|
| 90 |
+
moviepy==1.0.3
|
| 91 |
+
click==8.3.1
|
| 92 |
+
oauth2client==4.1.3
|
| 93 |
+
GDAL==3.8.4
|
| 94 |
+
mcp==1.21.2
|
| 95 |
+
pyzmq==26.2.1
|
| 96 |
+
langsmith==0.4.43
|
| 97 |
+
sqlparse==0.5.3
|
| 98 |
+
betterproto==2.0.0b6
|
| 99 |
+
parso==0.8.5
|
| 100 |
+
imbalanced-learn==0.14.0
|
| 101 |
+
tbb==2022.3.0
|
| 102 |
+
dm-tree==0.1.9
|
| 103 |
+
cuda-python==12.9.4
|
| 104 |
+
pygit2==1.19.0
|
| 105 |
+
proglog==0.1.12
|
| 106 |
+
fastjsonschema==2.21.2
|
| 107 |
+
tornado==6.5.1
|
| 108 |
+
matplotlib-venn==1.1.2
|
| 109 |
+
Authlib==1.6.5
|
| 110 |
+
cryptography==43.0.3
|
| 111 |
+
snowballstemmer==3.0.1
|
| 112 |
+
networkx==3.5
|
| 113 |
+
nvidia-cublas-cu12==12.6.4.1
|
| 114 |
+
wcwidth==0.2.14
|
| 115 |
+
dopamine_rl==4.1.2
|
| 116 |
+
blobfile==3.1.0
|
| 117 |
+
simple-parsing==0.1.7
|
| 118 |
+
pylibcugraph-cu12==25.10.1
|
| 119 |
+
sentence-transformers==5.1.2
|
| 120 |
+
jsonpatch==1.33
|
| 121 |
+
webencodings==0.5.1
|
| 122 |
+
zict==3.0.0
|
| 123 |
+
google-cloud-bigquery-storage==2.34.0
|
| 124 |
+
sphinxcontrib-serializinghtml==2.0.0
|
| 125 |
+
uc-micro-py==1.0.3
|
| 126 |
+
rfc3987-syntax==1.1.0
|
| 127 |
+
itsdangerous==2.2.0
|
| 128 |
+
peft==0.18.0
|
| 129 |
+
gspread-dataframe==4.0.0
|
| 130 |
+
pydot==3.0.4
|
| 131 |
+
pydantic_core==2.33.2
|
| 132 |
+
oauthlib==3.3.1
|
| 133 |
+
google-cloud-bigquery==3.38.0
|
| 134 |
+
geopy==2.4.1
|
| 135 |
+
rmm-cu12==25.10.0
|
| 136 |
+
distributed==2025.9.1
|
| 137 |
+
pandocfilters==1.5.1
|
| 138 |
+
llvmlite==0.43.0
|
| 139 |
+
torchaudio==2.9.0+cu126
|
| 140 |
+
hdbscan==0.8.40
|
| 141 |
+
safetensors==0.7.0
|
| 142 |
+
et_xmlfile==2.0.0
|
| 143 |
+
numexpr==2.14.1
|
| 144 |
+
scs==3.2.9
|
| 145 |
+
importlib_resources==6.5.2
|
| 146 |
+
pyogrio==0.11.1
|
| 147 |
+
rapids-logger==0.1.19
|
| 148 |
+
google==2.0.3
|
| 149 |
+
blinker==1.9.0
|
| 150 |
+
colour==0.1.5
|
| 151 |
+
lightgbm==4.6.0
|
| 152 |
+
pylibraft-cu12==25.10.0
|
| 153 |
+
autograd==1.8.0
|
| 154 |
+
duckdb==1.3.2
|
| 155 |
+
typing_extensions==4.15.0
|
| 156 |
+
protobuf==5.29.5
|
| 157 |
+
argon2-cffi==25.1.0
|
| 158 |
+
Bottleneck==1.4.2
|
| 159 |
+
libucxx-cu12==0.46.0
|
| 160 |
+
libcugraph-cu12==25.10.1
|
| 161 |
+
huggingface-hub==0.36.0
|
| 162 |
+
fastapi==0.121.3
|
| 163 |
+
mistune==3.1.4
|
| 164 |
+
pyspark==3.5.1
|
| 165 |
+
ibis-framework==9.5.0
|
| 166 |
+
tqdm==4.67.1
|
| 167 |
+
seaborn==0.13.2
|
| 168 |
+
mdurl==0.1.2
|
| 169 |
+
stumpy==1.13.0
|
| 170 |
+
python-dotenv==1.2.1
|
| 171 |
+
psygnal==0.15.0
|
| 172 |
+
music21==9.3.0
|
| 173 |
+
Farama-Notifications==0.0.4
|
| 174 |
+
jsonschema-specifications==2025.9.1
|
| 175 |
+
xxhash==3.6.0
|
| 176 |
+
confection==0.1.5
|
| 177 |
+
treelite==4.4.1
|
| 178 |
+
httpimport==1.4.1
|
| 179 |
+
libpysal==4.13.0
|
| 180 |
+
cramjam==2.11.0
|
| 181 |
+
google-cloud-functions==1.21.0
|
| 182 |
+
grpcio-status==1.71.2
|
| 183 |
+
torchsummary==1.5.1
|
| 184 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 185 |
+
libucx-cu12==1.19.0
|
| 186 |
+
geopandas==1.1.1
|
| 187 |
+
toml==0.10.2
|
| 188 |
+
shapely==2.1.2
|
| 189 |
+
html5lib==1.1
|
| 190 |
+
antlr4-python3-runtime==4.9.3
|
| 191 |
+
clarabel==0.11.1
|
| 192 |
+
uvicorn==0.38.0
|
| 193 |
+
toolz==0.12.1
|
| 194 |
+
cloudpathlib==0.23.0
|
| 195 |
+
cupy-cuda12x==13.6.0
|
| 196 |
+
fastai==2.8.5
|
| 197 |
+
peewee==3.18.3
|
| 198 |
+
GitPython==3.1.45
|
| 199 |
+
aiohappyeyeballs==2.6.1
|
| 200 |
+
murmurhash==1.0.15
|
| 201 |
+
jax-cuda12-plugin==0.7.2
|
| 202 |
+
pyperclip==1.11.0
|
| 203 |
+
promise==2.3
|
| 204 |
+
jupyter_server==2.14.0
|
| 205 |
+
webcolors==25.10.0
|
| 206 |
+
imagesize==1.4.1
|
| 207 |
+
prettytable==3.17.0
|
| 208 |
+
alembic==1.17.2
|
| 209 |
+
progressbar2==4.5.0
|
| 210 |
+
requests==2.32.4
|
| 211 |
+
nvidia-ml-py==13.580.82
|
| 212 |
+
humanize==4.14.0
|
| 213 |
+
umap-learn==0.5.9.post2
|
| 214 |
+
h5netcdf==1.7.3
|
| 215 |
+
PyGObject==3.42.0
|
| 216 |
+
google-cloud-aiplatform==1.128.0
|
| 217 |
+
flatbuffers==25.9.23
|
| 218 |
+
optax==0.2.6
|
| 219 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
| 220 |
+
nx-cugraph-cu12==25.10.0
|
| 221 |
+
lark==1.3.1
|
| 222 |
+
tenacity==8.5.0
|
| 223 |
+
entrypoints==0.4
|
| 224 |
+
prompt_toolkit==3.0.52
|
| 225 |
+
fonttools==4.60.1
|
| 226 |
+
ffmpy==1.0.0
|
| 227 |
+
google-cloud-core==2.5.0
|
| 228 |
+
matplotlib-inline==0.2.1
|
| 229 |
+
sphinxcontrib-jsmath==1.0.1
|
| 230 |
+
ply==3.11
|
| 231 |
+
tweepy==4.16.0
|
| 232 |
+
en_core_web_sm==3.8.0
|
| 233 |
+
google-crc32c==1.7.1
|
| 234 |
+
libcudf-cu12==25.10.0
|
| 235 |
+
ipytree==0.2.2
|
| 236 |
+
ImageIO==2.37.2
|
| 237 |
+
rfc3339-validator==0.1.4
|
| 238 |
+
keras==3.10.0
|
| 239 |
+
opt_einsum==3.4.0
|
| 240 |
+
jupyter_server_terminals==0.5.3
|
| 241 |
+
rpds-py==0.29.0
|
| 242 |
+
threadpoolctl==3.6.0
|
| 243 |
+
urllib3==2.5.0
|
| 244 |
+
kagglehub==0.3.13
|
| 245 |
+
Flask==3.1.2
|
| 246 |
+
easydict==1.13
|
| 247 |
+
grpcio==1.76.0
|
| 248 |
+
ratelim==0.1.6
|
| 249 |
+
logical-unification==0.4.7
|
| 250 |
+
omegaconf==2.3.0
|
| 251 |
+
roman-numerals-py==3.1.0
|
| 252 |
+
dataproc-spark-connect==0.8.3
|
| 253 |
+
langchain-text-splitters==0.3.11
|
| 254 |
+
tinycss2==1.4.0
|
| 255 |
+
python-json-logger==4.0.0
|
| 256 |
+
scikit-image==0.25.2
|
| 257 |
+
highspy==1.12.0
|
| 258 |
+
tf-slim==1.1.0
|
| 259 |
+
torchtune==0.6.1
|
| 260 |
+
jupyter-console==6.6.3
|
| 261 |
+
spanner-graph-notebook==1.1.8
|
| 262 |
+
dill==0.3.8
|
| 263 |
+
tensorboard-data-server==0.7.2
|
| 264 |
+
slicer==0.0.8
|
| 265 |
+
keyring==25.7.0
|
| 266 |
+
arviz==0.22.0
|
| 267 |
+
sympy==1.13.3
|
| 268 |
+
google-cloud-resource-manager==1.15.0
|
| 269 |
+
traittypes==0.2.3
|
| 270 |
+
typer-slim==0.20.0
|
| 271 |
+
annotated-doc==0.0.4
|
| 272 |
+
hf-xet==1.2.0
|
| 273 |
+
dask-cuda==25.10.0
|
| 274 |
+
pymc==5.26.1
|
| 275 |
+
pynndescent==0.5.13
|
| 276 |
+
stanio==0.5.1
|
| 277 |
+
treescope==0.1.10
|
| 278 |
+
optree==0.18.0
|
| 279 |
+
propcache==0.4.1
|
| 280 |
+
rich==13.9.4
|
| 281 |
+
gcsfs==2025.3.0
|
| 282 |
+
torch==2.9.0+cu126
|
| 283 |
+
MarkupSafe==3.0.3
|
| 284 |
+
tzlocal==5.3.1
|
| 285 |
+
google-cloud-secret-manager==2.25.0
|
| 286 |
+
atpublic==5.1
|
| 287 |
+
gitdb==4.0.12
|
| 288 |
+
ruff==0.14.5
|
| 289 |
+
opentelemetry-exporter-gcp-monitoring==1.11.0a0
|
| 290 |
+
grpc-interceptor==0.15.4
|
| 291 |
+
opentelemetry-exporter-gcp-logging==1.11.0a0
|
| 292 |
+
fqdn==1.5.1
|
| 293 |
+
soxr==1.0.0
|
| 294 |
+
hf_transfer==0.1.9
|
| 295 |
+
pyasn1==0.6.1
|
| 296 |
+
geemap==0.35.3
|
| 297 |
+
regex==2024.11.6
|
| 298 |
+
ipython-sql==0.5.0
|
| 299 |
+
pyviz_comms==3.0.6
|
| 300 |
+
pydub==0.25.1
|
| 301 |
+
geographiclib==2.1
|
| 302 |
+
Jinja2==3.1.6
|
| 303 |
+
ipython-genutils==0.2.0
|
| 304 |
+
multiprocess==0.70.16
|
| 305 |
+
h11==0.16.0
|
| 306 |
+
tables==3.10.2
|
| 307 |
+
tensorflow-text==2.19.0
|
| 308 |
+
bokeh==3.7.3
|
| 309 |
+
opentelemetry-resourcedetector-gcp==1.11.0a0
|
| 310 |
+
beautifulsoup4==4.13.5
|
| 311 |
+
filelock==3.20.0
|
| 312 |
+
catalogue==2.0.10
|
| 313 |
+
fasttransform==0.0.2
|
| 314 |
+
typeguard==4.4.4
|
| 315 |
+
openpyxl==3.1.5
|
| 316 |
+
tokenizers==0.22.1
|
| 317 |
+
plotly==5.24.1
|
| 318 |
+
ucxx-cu12==0.46.0
|
| 319 |
+
branca==0.8.2
|
| 320 |
+
overrides==7.7.0
|
| 321 |
+
cuda-core==0.3.2
|
| 322 |
+
tensorflow-probability==0.25.0
|
| 323 |
+
xarray-einstats==0.9.1
|
| 324 |
+
tf_keras==2.19.0
|
| 325 |
+
referencing==0.37.0
|
| 326 |
+
argon2-cffi-bindings==25.1.0
|
| 327 |
+
librmm-cu12==25.10.0
|
| 328 |
+
nvidia-cusparse-cu12==12.5.4.2
|
| 329 |
+
google-cloud-discoveryengine==0.13.12
|
| 330 |
+
xgboost==3.1.1
|
| 331 |
+
diffusers==0.35.2
|
| 332 |
+
timm==1.0.22
|
| 333 |
+
PyDrive2==1.21.3
|
| 334 |
+
tblib==3.2.2
|
| 335 |
+
scooby==0.11.0
|
| 336 |
+
opencv-python-headless==4.12.0.88
|
| 337 |
+
wheel==0.45.1
|
| 338 |
+
firebase-admin==6.9.0
|
| 339 |
+
shap==0.50.0
|
| 340 |
+
jsonpointer==3.0.0
|
| 341 |
+
python-louvain==0.16
|
| 342 |
+
charset-normalizer==3.4.4
|
| 343 |
+
sqlglot==25.20.2
|
| 344 |
+
jsonschema==4.25.1
|
| 345 |
+
jieba==0.42.1
|
| 346 |
+
importlib_metadata==8.7.0
|
| 347 |
+
nvidia-cuda-nvrtc-cu12==12.6.77
|
| 348 |
+
editdistance==0.8.1
|
| 349 |
+
jax==0.7.2
|
| 350 |
+
google-api-core==2.28.1
|
| 351 |
+
shellingham==1.5.4
|
| 352 |
+
portpicker==1.5.2
|
| 353 |
+
cudf-cu12==25.10.0
|
| 354 |
+
gspread==6.2.1
|
| 355 |
+
pylibcudf-cu12==25.10.0
|
| 356 |
+
python-slugify==8.0.4
|
| 357 |
+
anywidget==0.9.21
|
| 358 |
+
distro==1.9.0
|
| 359 |
+
stringzilla==4.2.3
|
| 360 |
+
libcuml-cu12==25.10.0
|
| 361 |
+
graphviz==0.21
|
| 362 |
+
ipython==7.34.0
|
| 363 |
+
hyperopt==0.2.7
|
| 364 |
+
sniffio==1.3.1
|
| 365 |
+
python-utils==3.9.1
|
| 366 |
+
bigframes==2.29.1
|
| 367 |
+
folium==0.20.0
|
| 368 |
+
google-cloud-bigtable==2.34.0
|
| 369 |
+
text-unidecode==1.3
|
| 370 |
+
pydantic-settings==2.12.0
|
| 371 |
+
annotated-types==0.7.0
|
| 372 |
+
locket==1.0.0
|
| 373 |
+
pyproj==3.7.2
|
| 374 |
+
orbax-checkpoint==0.11.28
|
| 375 |
+
PyJWT==2.10.1
|
| 376 |
+
natsort==8.4.0
|
| 377 |
+
astropy-iers-data==0.2025.11.10.0.38.31
|
| 378 |
+
gym-notices==0.1.0
|
| 379 |
+
debugpy==1.8.15
|
| 380 |
+
weasel==0.4.3
|
| 381 |
+
PyOpenGL==3.1.10
|
| 382 |
+
pydata-google-auth==1.9.1
|
| 383 |
+
semantic-version==2.10.0
|
| 384 |
+
google-cloud-firestore==2.21.0
|
| 385 |
+
statsmodels==0.14.5
|
| 386 |
+
pycocotools==2.0.10
|
| 387 |
+
greenlet==3.2.4
|
| 388 |
+
Werkzeug==3.1.3
|
| 389 |
+
preshed==3.0.12
|
| 390 |
+
gymnasium==1.2.2
|
| 391 |
+
prometheus_client==0.23.1
|
| 392 |
+
triton==3.5.0
|
| 393 |
+
frozendict==2.4.7
|
| 394 |
+
multipledispatch==1.0.0
|
| 395 |
+
srsly==2.5.2
|
| 396 |
+
google-auth-httplib2==0.2.1
|
| 397 |
+
zstandard==0.25.0
|
| 398 |
+
uri-template==1.3.0
|
| 399 |
+
gradio==5.49.1
|
| 400 |
+
websockets==15.0.1
|
| 401 |
+
bigquery-magics==0.10.3
|
| 402 |
+
nvidia-cuda-nvcc-cu12==12.5.82
|
| 403 |
+
etils==1.13.0
|
| 404 |
+
cufflinks==0.17.3
|
| 405 |
+
simsimd==6.5.3
|
| 406 |
+
frozenlist==1.8.0
|
| 407 |
+
transformers==4.57.1
|
| 408 |
+
ale-py==0.11.2
|
| 409 |
+
orjson==3.11.4
|
| 410 |
+
jiter==0.12.0
|
| 411 |
+
safehttpx==0.1.7
|
| 412 |
+
google-auth==2.38.0
|
| 413 |
+
inflect==7.5.0
|
| 414 |
+
decorator==4.4.2
|
| 415 |
+
types-pytz==2025.2.0.20251108
|
| 416 |
+
cyipopt==1.5.0
|
| 417 |
+
imageio-ffmpeg==0.6.0
|
| 418 |
+
pyshp==3.0.2.post1
|
| 419 |
+
grpc-google-iam-v1==0.14.3
|
| 420 |
+
immutabledict==4.2.2
|
| 421 |
+
ipyparallel==8.8.0
|
| 422 |
+
beartype==0.22.5
|
| 423 |
+
keras-nlp==0.21.1
|
| 424 |
+
tensorflow-hub==0.16.1
|
| 425 |
+
yfinance==0.2.66
|
| 426 |
+
cuda-toolkit==12.9.1
|
| 427 |
+
googleapis-common-protos==1.72.0
|
| 428 |
+
google-generativeai==0.8.5
|
| 429 |
+
aiofiles==24.1.0
|
| 430 |
+
joblib==1.5.2
|
| 431 |
+
ndindex==1.10.1
|
| 432 |
+
nbformat==5.10.4
|
| 433 |
+
pygame==2.6.1
|
| 434 |
+
opentelemetry-proto==1.37.0
|
| 435 |
+
cachetools==5.5.2
|
| 436 |
+
sphinxcontrib-qthelp==2.0.0
|
| 437 |
+
albumentations==2.0.8
|
| 438 |
+
libraft-cu12==25.10.0
|
| 439 |
+
absl-py==1.4.0
|
| 440 |
+
simplejson==3.20.2
|
| 441 |
+
jupytext==1.17.3
|
| 442 |
+
raft-dask-cu12==25.10.0
|
| 443 |
+
pyomo==6.9.5
|
| 444 |
+
msgpack==1.1.2
|
| 445 |
+
tensorflow==2.19.0
|
| 446 |
+
dask==2025.9.1
|
| 447 |
+
aiohttp==3.13.2
|
| 448 |
+
future==1.0.0
|
| 449 |
+
bleach==6.3.0
|
| 450 |
+
cmdstanpy==1.3.0
|
| 451 |
+
wurlitzer==3.1.1
|
| 452 |
+
libkvikio-cu12==25.10.0
|
| 453 |
+
google-cloud-audit-log==0.4.0
|
| 454 |
+
packaging==25.0
|
| 455 |
+
defusedxml==0.7.1
|
| 456 |
+
google-auth-oauthlib==1.2.3
|
| 457 |
+
textblob==0.19.0
|
| 458 |
+
pexpect==4.9.0
|
| 459 |
+
Mako==1.3.10
|
| 460 |
+
cmake==3.31.6
|
| 461 |
+
eerepr==0.1.2
|
| 462 |
+
namex==0.1.0
|
| 463 |
+
sse-starlette==3.0.3
|
| 464 |
+
grpclib==0.4.8
|
| 465 |
+
jaraco.context==6.0.1
|
| 466 |
+
nbclient==0.10.2
|
| 467 |
+
scipy==1.16.3
|
| 468 |
+
miniKanren==1.0.5
|
| 469 |
+
nvidia-curand-cu12==10.3.7.77
|
| 470 |
+
sphinxcontrib-applehelp==2.0.0
|
| 471 |
+
python-dateutil==2.9.0.post0
|
| 472 |
+
librosa==0.11.0
|
| 473 |
+
ptyprocess==0.7.0
|
| 474 |
+
opentelemetry-api==1.37.0
|
| 475 |
+
nvtx==0.2.13
|
| 476 |
+
nvidia-cufile-cu12==1.11.1.6
|
| 477 |
+
plum-dispatch==2.6.0
|
| 478 |
+
kiwisolver==1.4.9
|
| 479 |
+
ipyleaflet==0.20.0
|
| 480 |
+
jaraco.functools==4.3.0
|
| 481 |
+
terminado==0.18.1
|
| 482 |
+
tensorflow_decision_forests==1.12.0
|
| 483 |
+
Send2Trash==1.8.3
|
| 484 |
+
flax==0.10.7
|
| 485 |
+
PyWavelets==1.9.0
|
| 486 |
+
brotli==1.2.0
|
| 487 |
+
mpmath==1.3.0
|
| 488 |
+
earthengine-api==1.5.24
|
| 489 |
+
isoduration==20.11.0
|
| 490 |
+
pytz==2025.2
|
| 491 |
+
tiktoken==0.12.0
|
| 492 |
+
traitlets==5.7.1
|
| 493 |
+
typer==0.20.0
|
| 494 |
+
plotnine==0.14.5
|
| 495 |
+
sphinxcontrib-devhelp==2.0.0
|
| 496 |
+
spacy==3.8.11
|
| 497 |
+
gym==0.25.2
|
| 498 |
+
google-cloud-datastore==2.21.0
|
| 499 |
+
torchdata==0.11.0
|
| 500 |
+
bqplot==0.12.45
|
| 501 |
+
missingno==0.5.2
|
| 502 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 503 |
+
param==2.3.0
|
| 504 |
+
tensorstore==0.1.79
|
| 505 |
+
ipyfilechooser==0.6.0
|
| 506 |
+
rfc3986-validator==0.1.1
|
| 507 |
+
nibabel==5.3.2
|
| 508 |
+
starlette==0.50.0
|
| 509 |
+
psutil==5.9.5
|
| 510 |
+
lazy_loader==0.4
|
| 511 |
+
smart_open==7.5.0
|
| 512 |
+
jupyter_core==5.9.1
|
| 513 |
+
pycairo==1.29.0
|
| 514 |
+
pytensor==2.35.1
|
| 515 |
+
hpack==4.1.0
|
| 516 |
+
smmap==5.0.2
|
| 517 |
+
httplib2==0.31.0
|
| 518 |
+
h2==4.3.0
|
| 519 |
+
nvidia-nccl-cu12==2.27.5
|
| 520 |
+
googledrivedownloader==1.1.0
|
| 521 |
+
SQLAlchemy==2.0.44
|
| 522 |
+
yellowbrick==1.5
|
| 523 |
+
cloudpickle==3.1.2
|
| 524 |
+
typing-inspection==0.4.2
|
| 525 |
+
cuml-cu12==25.10.0
|
| 526 |
+
tensorflow-metadata==1.17.2
|
| 527 |
+
hyperframe==6.1.0
|
| 528 |
+
numba-cuda==0.19.1
|
| 529 |
+
rpy2==3.5.17
|
| 530 |
+
cuda-bindings==12.9.4
|
| 531 |
+
langchain==0.3.27
|
| 532 |
+
array_record==0.8.3
|
| 533 |
+
google-cloud-appengine-logging==1.7.0
|
| 534 |
+
requests-oauthlib==2.0.0
|
| 535 |
+
lxml==5.4.0
|
| 536 |
+
rsa==4.9.1
|
| 537 |
+
thinc==8.3.10
|
| 538 |
+
tomlkit==0.13.3
|
| 539 |
+
blis==1.3.3
|
| 540 |
+
opentelemetry-sdk==1.37.0
|
| 541 |
+
kaggle==1.7.4.5
|
| 542 |
+
tcmlib==1.4.1
|
| 543 |
+
holidays==0.85
|
| 544 |
+
multidict==6.7.0
|
| 545 |
+
accelerate==1.11.0
|
| 546 |
+
pyerfa==2.0.1.5
|
| 547 |
+
babel==2.17.0
|
| 548 |
+
google-api-python-client==2.187.0
|
| 549 |
+
cffi==2.0.0
|
| 550 |
+
soupsieve==2.8
|
| 551 |
+
opencv-python==4.12.0.88
|
| 552 |
+
rapids-dask-dependency==25.10.0
|
| 553 |
+
chex==0.1.90
|
| 554 |
+
google-cloud-translate==3.23.0
|
| 555 |
+
python-snappy==0.7.3
|
| 556 |
+
xarray==2025.11.0
|
| 557 |
+
pillow==11.3.0
|
| 558 |
+
uritemplate==4.2.0
|
| 559 |
+
Cython==3.0.12
|
| 560 |
+
tensorflow-datasets==4.9.9
|
| 561 |
+
mkl==2025.2.0
|
| 562 |
+
cvxpy==1.6.7
|
| 563 |
+
spacy-loggers==1.0.5
|
| 564 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
| 565 |
+
spacy-legacy==3.0.12
|
| 566 |
+
fastrlock==0.8.3
|
| 567 |
+
aiosignal==1.4.0
|
| 568 |
+
osqp==1.0.5
|
| 569 |
+
astunparse==1.6.3
|
| 570 |
+
py-cpuinfo==9.0.0
|
| 571 |
+
nbclassic==1.3.3
|
| 572 |
+
pycryptodomex==3.23.0
|
| 573 |
+
anyio==4.11.0
|
| 574 |
+
ydf==0.13.0
|
| 575 |
+
parsy==2.2
|
| 576 |
+
einops==0.8.1
|
| 577 |
+
iniconfig==2.3.0
|
| 578 |
+
cycler==0.12.1
|
| 579 |
+
h5py==3.15.1
|
| 580 |
+
libclang==18.1.1
|
| 581 |
+
gdown==5.2.0
|
| 582 |
+
wasabi==1.1.3
|
| 583 |
+
httpx==0.28.1
|
| 584 |
+
termcolor==3.2.0
|
| 585 |
+
umf==1.0.2
|
| 586 |
+
mizani==0.13.5
|
| 587 |
+
astropy==7.1.1
|
| 588 |
+
opentelemetry-exporter-gcp-trace==1.11.0
|
| 589 |
+
pandas-datareader==0.10.0
|
| 590 |
+
nvidia-nvjitlink-cu12==12.6.85
|
| 591 |
+
pickleshare==0.7.5
|
| 592 |
+
community==1.0.0b1
|
| 593 |
+
prophet==1.1.7
|
| 594 |
+
jupyterlab_pygments==0.3.0
|
| 595 |
+
requests-toolbelt==1.0.0
|
| 596 |
+
gradio_client==1.13.3
|
| 597 |
+
pydantic==2.11.10
|
| 598 |
+
google-cloud-logging==3.12.1
|
| 599 |
+
google-cloud-storage==2.19.0
|
| 600 |
+
intel-openmp==2025.3.1
|
| 601 |
+
tifffile==2025.10.16
|
| 602 |
+
colorcet==3.1.0
|
| 603 |
+
google-cloud-speech==2.34.0
|
| 604 |
+
notebook_shim==0.2.4
|
| 605 |
+
xlrd==2.0.2
|
| 606 |
+
httpx-sse==0.4.3
|
| 607 |
+
backcall==0.2.0
|
| 608 |
+
blosc2==3.11.1
|
| 609 |
+
sortedcontainers==2.4.0
|
| 610 |
+
opentelemetry-exporter-otlp-proto-common==1.37.0
|
| 611 |
+
sentencepiece==0.2.1
|
| 612 |
+
six==1.17.0
|
| 613 |
+
google-pasta==0.2.0
|
| 614 |
+
sphinxcontrib-htmlhelp==2.1.0
|
| 615 |
+
zipp==3.23.0
|
| 616 |
+
jupyter-leaflet==0.20.0
|
| 617 |
+
jeepney==0.9.0
|
| 618 |
+
cons==0.4.7
|
| 619 |
+
markdown-it-py==4.0.0
|
| 620 |
+
wordcloud==1.9.4
|
| 621 |
+
opencv-contrib-python==4.12.0.88
|
| 622 |
+
opentelemetry-exporter-otlp-proto-http==1.37.0
|
| 623 |
+
absolufy-imports==0.3.1
|
| 624 |
+
psycopg2==2.9.11
|
| 625 |
+
groovy==0.1.2
|
| 626 |
+
CacheControl==0.14.4
|
| 627 |
+
arrow==1.4.0
|
| 628 |
+
ipyevents==2.0.4
|
| 629 |
+
tzdata==2025.2
|
| 630 |
+
nvidia-nvtx-cu12==12.6.77
|
| 631 |
+
Sphinx==8.2.3
|
| 632 |
+
tsfresh==0.21.1
|
| 633 |
+
jupyter-events==0.12.0
|
| 634 |
+
partd==1.4.2
|
| 635 |
+
platformdirs==4.5.0
|
| 636 |
+
SecretStorage==3.4.1
|
| 637 |
+
narwhals==2.12.0
|
| 638 |
+
sqlalchemy-spanner==1.17.1
|
| 639 |
+
watchdog==6.0.0
|
| 640 |
+
nbconvert==7.16.6
|
| 641 |
+
google-cloud-trace==1.17.0
|
| 642 |
+
cuda-pathfinder==1.3.2
|
| 643 |
+
proto-plus==1.26.1
|
| 644 |
+
notebook==6.5.7
|
| 645 |
+
fastcore==1.8.16
|
| 646 |
+
pluggy==1.6.0
|
| 647 |
+
etuples==0.3.10
|
| 648 |
+
gast==0.6.0
|
| 649 |
+
PyYAML==6.0.3
|
| 650 |
+
opentelemetry-semantic-conventions==0.58b0
|
| 651 |
+
ml_dtypes==0.5.4
|
| 652 |
+
google-cloud-monitoring==2.28.0
|
| 653 |
+
pyasn1_modules==0.4.2
|
| 654 |
+
cvxopt==1.3.2
|
| 655 |
+
contourpy==1.3.3
|
| 656 |
+
gin-config==0.5.0
|
| 657 |
+
certifi==2025.11.12
|
| 658 |
+
jsonpickle==4.1.1
|
| 659 |
+
wrapt==2.0.1
|
| 660 |
+
keras-hub==0.21.1
|
| 661 |
+
torchvision==0.24.0+cu126
|
| 662 |
+
yarl==1.22.0
|
| 663 |
+
jupyterlab_widgets==3.0.16
|
| 664 |
+
py4j==0.10.9.7
|
| 665 |
+
Pygments==2.19.2
|
| 666 |
+
python-box==7.3.2
|
| 667 |
+
albucore==0.0.24
|
| 668 |
+
nvidia-cuda-cccl-cu12==12.9.27
|
| 669 |
+
jax-cuda12-pjrt==0.7.2
|
| 670 |
+
fastprogress==1.0.3
|
| 671 |
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'h3110Fr13nd/guj-eng-code-switch-indic-bert-data2', 'hub_strategy': 'end', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'guj-eng-code-switch-indic-bert-data2', 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True}
|
| 23 |
+
2025-11-22 16:30:23,587 INFO MainThread:6429 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 32856837 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a1dac4b07d0>>
|
| 24 |
+
2025-11-22 16:30:23,587 INFO MainThread:6429 [wandb_run.py:_config_callback():1385] config_cb model/num_parameters 32856837 None
|
| 25 |
+
2025-11-22 16:32:11,129 INFO MainThread:6429 [wandb_run.py:_finish():2270] finishing run h3110fr13nd-esparkbiz-technologies-pvt/gujarati-english-code-switch/hn6dt5mn
|
| 26 |
+
2025-11-22 16:32:11,130 INFO MainThread:6429 [wandb_run.py:_atexit_cleanup():2469] got exitcode: 0
|
| 27 |
+
2025-11-22 16:32:11,130 INFO MainThread:6429 [wandb_run.py:_restore():2451] restore
|
| 28 |
+
2025-11-22 16:32:11,130 INFO MainThread:6429 [wandb_run.py:_restore():2457] restore done
|
| 29 |
+
2025-11-22 16:32:11,780 INFO MainThread:6429 [wandb_run.py:_footer_sync_info():3853] logging synced files
|
wandb_logs/run-20251122_162942-hn6dt5mn/run-hn6dt5mn.wandb
ADDED
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size 121050
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wandb_logs/run-20251122_163550-m5him6ro/files/config.yaml
ADDED
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@@ -0,0 +1,542 @@
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|
|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: ai4bharat/indic-bert
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.23.0
|
| 6 |
+
e:
|
| 7 |
+
gtce5850qp01pnp8ld1prboplkugarcc:
|
| 8 |
+
args:
|
| 9 |
+
- configs/indic_data3.json
|
| 10 |
+
codePath: train.py
|
| 11 |
+
codePathLocal: train.py
|
| 12 |
+
cpu_count: 1
|
| 13 |
+
cpu_count_logical: 2
|
| 14 |
+
cudaVersion: "12.4"
|
| 15 |
+
disk:
|
| 16 |
+
/:
|
| 17 |
+
total: "120942624768"
|
| 18 |
+
used: "58045038592"
|
| 19 |
+
email: [email protected]
|
| 20 |
+
executable: /usr/bin/python3
|
| 21 |
+
git:
|
| 22 |
+
commit: de0702477fe9412790ab872e2d1361a32e068b2d
|
| 23 |
+
remote: https://h3110Fr13nd:@github.com/h3110Fr13nd/code-switch-identification-model.git
|
| 24 |
+
gpu: Tesla T4
|
| 25 |
+
gpu_count: 1
|
| 26 |
+
gpu_nvidia:
|
| 27 |
+
- architecture: Turing
|
| 28 |
+
cudaCores: 2560
|
| 29 |
+
memoryTotal: "16106127360"
|
| 30 |
+
name: Tesla T4
|
| 31 |
+
uuid: GPU-d740f133-e3a8-f36c-28a2-52b7659451f1
|
| 32 |
+
host: f0da10c9a12b
|
| 33 |
+
memory:
|
| 34 |
+
total: "13605842944"
|
| 35 |
+
os: Linux-6.6.105+-x86_64-with-glibc2.35
|
| 36 |
+
program: /content/code-switch-identification-model/train.py
|
| 37 |
+
python: CPython 3.12.12
|
| 38 |
+
root: /content/code-switch-identification-model
|
| 39 |
+
startedAt: "2025-11-22T16:35:50.520201Z"
|
| 40 |
+
writerId: gtce5850qp01pnp8ld1prboplkugarcc
|
| 41 |
+
m:
|
| 42 |
+
- "1": train/global_step
|
| 43 |
+
"6":
|
| 44 |
+
- 3
|
| 45 |
+
"7": []
|
| 46 |
+
- "2": '*'
|
| 47 |
+
"5": 1
|
| 48 |
+
"6":
|
| 49 |
+
- 1
|
| 50 |
+
"7": []
|
| 51 |
+
python_version: 3.12.12
|
| 52 |
+
t:
|
| 53 |
+
"1":
|
| 54 |
+
- 1
|
| 55 |
+
- 2
|
| 56 |
+
- 3
|
| 57 |
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- 5
|
| 58 |
+
- 11
|
| 59 |
+
- 12
|
| 60 |
+
- 41
|
| 61 |
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- 49
|
| 62 |
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- 51
|
| 63 |
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- 53
|
| 64 |
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- 71
|
| 65 |
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- 98
|
| 66 |
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- 100
|
| 67 |
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- 105
|
| 68 |
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"2":
|
| 69 |
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- 1
|
| 70 |
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- 2
|
| 71 |
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- 3
|
| 72 |
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- 5
|
| 73 |
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- 11
|
| 74 |
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- 12
|
| 75 |
+
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use_mps_device:
|
| 534 |
+
value: false
|
| 535 |
+
vocab_size:
|
| 536 |
+
value: 200000
|
| 537 |
+
warmup_ratio:
|
| 538 |
+
value: 0.1
|
| 539 |
+
warmup_steps:
|
| 540 |
+
value: 0
|
| 541 |
+
weight_decay:
|
| 542 |
+
value: 0.01
|
wandb_logs/run-20251122_163550-m5him6ro/files/output.log
ADDED
|
@@ -0,0 +1,85 @@
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| 1 |
+
|
| 2 |
+
_| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|
|
| 3 |
+
_| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 4 |
+
_|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|
|
| 5 |
+
_| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|
|
| 6 |
+
_| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|
|
| 7 |
+
Enter your token (input will not be visible):
|
| 8 |
+
|
| 9 |
+
[1m[31mCannot authenticate through git-credential as no helper is defined on your machine.
|
| 10 |
+
You might have to re-authenticate when pushing to the Hugging Face Hub.
|
| 11 |
+
Run the following command in your terminal in case you want to set the 'store' credential helper as default.
|
| 12 |
+
|
| 13 |
+
git config --global credential.helper store
|
| 14 |
+
|
| 15 |
+
Read https://git-scm.com/book/en/v2/Git-Tools-Credential-Storage for more details.[0m
|
| 16 |
+
Token has not been saved to git credential helper.
|
| 17 |
+
WARNING:huggingface_hub._login:Token has not been saved to git credential helper.
|
| 18 |
+
Some weights of AlbertForTokenClassification were not initialized from the model checkpoint at ai4bharat/indic-bert and are newly initialized: ['classifier.bias', 'classifier.weight']
|
| 19 |
+
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
|
| 20 |
+
100% 741/741 [02:33<00:00, 4.83it/s]
|
| 21 |
+
{'loss': 1.5882, 'grad_norm': 4.100921630859375, 'learning_rate': 0.0, 'epoch': 0.0}
|
| 22 |
+
{'loss': 1.3882, 'grad_norm': 2.7958192825317383, 'learning_rate': 1.3066666666666668e-05, 'epoch': 0.2}
|
| 23 |
+
{'loss': 0.8038, 'grad_norm': 8.663116455078125, 'learning_rate': 1.927927927927928e-05, 'epoch': 0.4}
|
| 24 |
+
{'loss': 0.4655, 'grad_norm': 3.25374436378479, 'learning_rate': 1.7777777777777777e-05, 'epoch': 0.61}
|
| 25 |
+
{'loss': 0.3428, 'grad_norm': 11.548168182373047, 'learning_rate': 1.627627627627628e-05, 'epoch': 0.81}
|
| 26 |
+
Processing Files (5 / 5) : 100% 152M/152M [00:04<00:00, 34.5MB/s, 31.3MB/s ]
|
| 27 |
+
{'eval_loss': 0.3107636570930481, 'eval_precision': 0.8106646058732612, 'eval_recall': 0.8446054750402576, 'eval_f1': 0.8272870662460567, 'eval_accuracy': 0.9270868141415491, 'eval_runtime': 3.0795, 'eval_samples_per_second': 160.089, 'eval_steps_per_second': 5.196, 'epoch': 1.0}
|
| 28 |
+
{'loss': 0.319, 'grad_norm': 7.127461910247803, 'learning_rate': 1.4774774774774776e-05, 'epoch': 1.01}
|
| 29 |
+
{'loss': 0.2624, 'grad_norm': 10.869697570800781, 'learning_rate': 1.3273273273273274e-05, 'epoch': 1.21}
|
| 30 |
+
{'loss': 0.2253, 'grad_norm': 5.988554954528809, 'learning_rate': 1.1771771771771771e-05, 'epoch': 1.42}
|
| 31 |
+
{'loss': 0.2557, 'grad_norm': 5.968228816986084, 'learning_rate': 1.027027027027027e-05, 'epoch': 1.62}
|
| 32 |
+
{'loss': 0.209, 'grad_norm': 6.053709506988525, 'learning_rate': 8.768768768768769e-06, 'epoch': 1.82}
|
| 33 |
+
{'eval_loss': 0.20414960384368896, 'eval_precision': 0.868071818891491, 'eval_recall': 0.895330112721417, 'eval_f1': 0.8814902893380895, 'eval_accuracy': 0.9502105192808928, 'eval_runtime': 3.2317, 'eval_samples_per_second': 152.553, 'eval_steps_per_second': 4.951, 'epoch': 2.0}
|
| 34 |
+
{'loss': 0.1858, 'grad_norm': 4.224324703216553, 'learning_rate': 7.267267267267268e-06, 'epoch': 2.02}
|
| 35 |
+
{'loss': 0.1704, 'grad_norm': 3.3073840141296387, 'learning_rate': 5.765765765765766e-06, 'epoch': 2.23}
|
| 36 |
+
{'loss': 0.1874, 'grad_norm': 6.554600715637207, 'learning_rate': 4.264264264264265e-06, 'epoch': 2.43}
|
| 37 |
+
{'loss': 0.1498, 'grad_norm': 0.9887686967849731, 'learning_rate': 2.7627627627627628e-06, 'epoch': 2.63}
|
| 38 |
+
{'loss': 0.1745, 'grad_norm': 9.681267738342285, 'learning_rate': 1.2612612612612613e-06, 'epoch': 2.83}
|
| 39 |
+
{'eval_loss': 0.19094230234622955, 'eval_precision': 0.8835562549173879, 'eval_recall': 0.9041867954911433, 'eval_f1': 0.8937524870672503, 'eval_accuracy': 0.9577624807859386, 'eval_runtime': 3.1887, 'eval_samples_per_second': 154.608, 'eval_steps_per_second': 5.018, 'epoch': 3.0}
|
| 40 |
+
{'train_runtime': 153.333, 'train_samples_per_second': 77.087, 'train_steps_per_second': 4.833, 'train_loss': 0.3553515584201787, 'epoch': 3.0}
|
| 41 |
+
New Data Upload : 100% 131M/131M [00:04<00:00, 29.8MB/s, 31.3MB/s ]
|
| 42 |
+
...c-bert-data3/spiece.model: 100% 5.65M/5.65M [00:04<?, ?B/s]
|
| 43 |
+
...bert-data3/tokenizer.json: 100% 15.3M/15.3M [00:04<?, ?B/s]
|
| 44 |
+
...t-data3/model.safetensors: 100% 131M/131M [00:03<00:00, 38.4MB/s]
|
| 45 |
+
...29369.f0da10c9a12b.8125.0: 100% 10.3k/10.3k [00:02<00:00, 3.65kB/s]
|
| 46 |
+
...t-data3/training_args.bin: 100% 5.91k/5.91k [00:02<00:00, 2.09kB/s]
|
| 47 |
+
Processing Files (5 / 5) : 100% 152M/152M [00:01<00:00, 126MB/s, 115MB/s ]
|
| 48 |
+
New Data Upload : | | 0.00B / 0.00B, 0.00B/s
|
| 49 |
+
...t-data3/training_args.bin: 100% 5.91k/5.91k [00:01<?, ?B/s]
|
| 50 |
+
...29369.f0da10c9a12b.8125.0: 100% 10.3k/10.3k [00:01<?, ?B/s]
|
| 51 |
+
...c-bert-data3/spiece.model: 100% 5.65M/5.65M [00:01<?, ?B/s]
|
| 52 |
+
...t-data3/model.safetensors: 100% 131M/131M [00:01<00:00, 115MB/s]
|
| 53 |
+
...bert-data3/tokenizer.json: 100% 15.3M/15.3M [00:00<?, ?B/s]
|
| 54 |
+
No files have been modified since last commit. Skipping to prevent empty commit.
|
| 55 |
+
WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.
|
| 56 |
+
***** train metrics *****
|
| 57 |
+
epoch = 3.0
|
| 58 |
+
total_flos = 34687GF
|
| 59 |
+
train_loss = 0.3554
|
| 60 |
+
train_runtime = 0:02:33.33
|
| 61 |
+
train_samples_per_second = 77.087
|
| 62 |
+
train_steps_per_second = 4.833
|
| 63 |
+
100% 16/16 [00:02<00:00, 5.35it/s]
|
| 64 |
+
***** eval metrics *****
|
| 65 |
+
epoch = 3.0
|
| 66 |
+
eval_accuracy = 0.9578
|
| 67 |
+
eval_f1 = 0.8938
|
| 68 |
+
eval_loss = 0.1909
|
| 69 |
+
eval_precision = 0.8836
|
| 70 |
+
eval_recall = 0.9042
|
| 71 |
+
eval_runtime = 0:00:03.15
|
| 72 |
+
eval_samples_per_second = 156.457
|
| 73 |
+
eval_steps_per_second = 5.078
|
| 74 |
+
94% 15/16 [00:01<00:00, 7.26it/s]early stopping required metric_for_best_model, but did not find eval_f1 so early stopping is disabled
|
| 75 |
+
100% 16/16 [00:02<00:00, 5.57it/s]
|
| 76 |
+
***** test metrics *****
|
| 77 |
+
epoch = 3.0
|
| 78 |
+
test_accuracy = 0.9563
|
| 79 |
+
test_f1 = 0.9005
|
| 80 |
+
test_loss = 0.1731
|
| 81 |
+
test_precision = 0.8932
|
| 82 |
+
test_recall = 0.9079
|
| 83 |
+
test_runtime = 0:00:03.02
|
| 84 |
+
test_samples_per_second = 162.645
|
| 85 |
+
test_steps_per_second = 5.289
|
wandb_logs/run-20251122_163550-m5him6ro/files/requirements.txt
ADDED
|
@@ -0,0 +1,698 @@
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|
|
| 1 |
+
setuptools==75.2.0
|
| 2 |
+
pip==24.1.2
|
| 3 |
+
requirements-parser==0.9.0
|
| 4 |
+
types-setuptools==80.9.0.20250822
|
| 5 |
+
ipykernel==7.1.0
|
| 6 |
+
tensorboard==2.20.0
|
| 7 |
+
numpy==2.3.5
|
| 8 |
+
pyarrow==22.0.0
|
| 9 |
+
matplotlib==3.10.7
|
| 10 |
+
widgetsnbextension==4.0.15
|
| 11 |
+
seqeval==1.2.2
|
| 12 |
+
ipywidgets==8.1.8
|
| 13 |
+
datasets==4.4.1
|
| 14 |
+
pandas==2.3.3
|
| 15 |
+
comm==0.2.3
|
| 16 |
+
google-genai==1.50.1
|
| 17 |
+
scikit-learn==1.7.2
|
| 18 |
+
evaluate==0.4.6
|
| 19 |
+
jedi==0.19.2
|
| 20 |
+
jupyter_client==8.6.3
|
| 21 |
+
google-colab==1.0.0
|
| 22 |
+
httpcore==1.0.9
|
| 23 |
+
colorlover==0.3.0
|
| 24 |
+
pyOpenSSL==24.2.1
|
| 25 |
+
PySocks==1.7.1
|
| 26 |
+
fsspec==2025.3.0
|
| 27 |
+
google-ai-generativelanguage==0.6.15
|
| 28 |
+
dlib==19.24.6
|
| 29 |
+
fastdownload==0.0.7
|
| 30 |
+
jaxlib==0.7.2
|
| 31 |
+
python-multipart==0.0.20
|
| 32 |
+
nltk==3.9.1
|
| 33 |
+
chardet==5.2.0
|
| 34 |
+
pyparsing==3.2.5
|
| 35 |
+
sentry-sdk==2.45.0
|
| 36 |
+
audioread==3.1.0
|
| 37 |
+
langchain-core==0.3.80
|
| 38 |
+
jaraco.classes==3.4.0
|
| 39 |
+
cymem==2.0.13
|
| 40 |
+
vega-datasets==0.9.0
|
| 41 |
+
docstring_parser==0.17.0
|
| 42 |
+
nest-asyncio==1.6.0
|
| 43 |
+
mlxtend==0.23.4
|
| 44 |
+
xyzservices==2025.10.0
|
| 45 |
+
more-itertools==10.8.0
|
| 46 |
+
torchao==0.10.0
|
| 47 |
+
numba==0.60.0
|
| 48 |
+
panel==1.8.3
|
| 49 |
+
docutils==0.21.2
|
| 50 |
+
holoviews==1.22.0
|
| 51 |
+
attrs==25.4.0
|
| 52 |
+
db-dtypes==1.4.4
|
| 53 |
+
tabulate==0.9.0
|
| 54 |
+
pydotplus==2.0.2
|
| 55 |
+
soundfile==0.13.1
|
| 56 |
+
sklearn-pandas==2.2.0
|
| 57 |
+
multitasking==0.0.12
|
| 58 |
+
glob2==0.7
|
| 59 |
+
nvidia-cusolver-cu12==11.7.1.2
|
| 60 |
+
google-adk==1.17.0
|
| 61 |
+
alabaster==1.0.0
|
| 62 |
+
mdit-py-plugins==0.5.0
|
| 63 |
+
intel-cmplr-lib-ur==2025.3.1
|
| 64 |
+
nvidia-cufft-cu12==11.3.0.4
|
| 65 |
+
google-cloud-bigquery-connection==1.19.0
|
| 66 |
+
polars==1.31.0
|
| 67 |
+
openai==1.109.1
|
| 68 |
+
google-cloud-spanner==3.59.0
|
| 69 |
+
patsy==1.0.2
|
| 70 |
+
pytest==8.4.2
|
| 71 |
+
pycparser==2.23
|
| 72 |
+
curl_cffi==0.13.0
|
| 73 |
+
linkify-it-py==2.0.3
|
| 74 |
+
imutils==0.5.4
|
| 75 |
+
Markdown==3.10
|
| 76 |
+
pandas-stubs==2.2.2.240909
|
| 77 |
+
pooch==1.8.2
|
| 78 |
+
pandas-gbq==0.30.0
|
| 79 |
+
google-cloud-dataproc==5.23.0
|
| 80 |
+
google-cloud-language==2.18.0
|
| 81 |
+
jupyter_kernel_gateway==2.5.2
|
| 82 |
+
google-resumable-media==2.8.0
|
| 83 |
+
nvidia-cuda-runtime-cu12==12.6.77
|
| 84 |
+
dask-cudf-cu12==25.10.0
|
| 85 |
+
websocket-client==1.9.0
|
| 86 |
+
distributed-ucxx-cu12==0.46.0
|
| 87 |
+
altair==5.5.0
|
| 88 |
+
idna==3.11
|
| 89 |
+
wandb==0.23.0
|
| 90 |
+
moviepy==1.0.3
|
| 91 |
+
click==8.3.1
|
| 92 |
+
oauth2client==4.1.3
|
| 93 |
+
GDAL==3.8.4
|
| 94 |
+
mcp==1.21.2
|
| 95 |
+
pyzmq==26.2.1
|
| 96 |
+
langsmith==0.4.43
|
| 97 |
+
sqlparse==0.5.3
|
| 98 |
+
betterproto==2.0.0b6
|
| 99 |
+
parso==0.8.5
|
| 100 |
+
imbalanced-learn==0.14.0
|
| 101 |
+
tbb==2022.3.0
|
| 102 |
+
dm-tree==0.1.9
|
| 103 |
+
cuda-python==12.9.4
|
| 104 |
+
pygit2==1.19.0
|
| 105 |
+
proglog==0.1.12
|
| 106 |
+
fastjsonschema==2.21.2
|
| 107 |
+
tornado==6.5.1
|
| 108 |
+
matplotlib-venn==1.1.2
|
| 109 |
+
Authlib==1.6.5
|
| 110 |
+
cryptography==43.0.3
|
| 111 |
+
snowballstemmer==3.0.1
|
| 112 |
+
networkx==3.5
|
| 113 |
+
nvidia-cublas-cu12==12.6.4.1
|
| 114 |
+
wcwidth==0.2.14
|
| 115 |
+
dopamine_rl==4.1.2
|
| 116 |
+
blobfile==3.1.0
|
| 117 |
+
simple-parsing==0.1.7
|
| 118 |
+
pylibcugraph-cu12==25.10.1
|
| 119 |
+
sentence-transformers==5.1.2
|
| 120 |
+
jsonpatch==1.33
|
| 121 |
+
webencodings==0.5.1
|
| 122 |
+
zict==3.0.0
|
| 123 |
+
google-cloud-bigquery-storage==2.34.0
|
| 124 |
+
sphinxcontrib-serializinghtml==2.0.0
|
| 125 |
+
uc-micro-py==1.0.3
|
| 126 |
+
rfc3987-syntax==1.1.0
|
| 127 |
+
itsdangerous==2.2.0
|
| 128 |
+
peft==0.18.0
|
| 129 |
+
gspread-dataframe==4.0.0
|
| 130 |
+
pydot==3.0.4
|
| 131 |
+
pydantic_core==2.33.2
|
| 132 |
+
oauthlib==3.3.1
|
| 133 |
+
google-cloud-bigquery==3.38.0
|
| 134 |
+
geopy==2.4.1
|
| 135 |
+
rmm-cu12==25.10.0
|
| 136 |
+
distributed==2025.9.1
|
| 137 |
+
pandocfilters==1.5.1
|
| 138 |
+
llvmlite==0.43.0
|
| 139 |
+
torchaudio==2.9.0+cu126
|
| 140 |
+
hdbscan==0.8.40
|
| 141 |
+
safetensors==0.7.0
|
| 142 |
+
et_xmlfile==2.0.0
|
| 143 |
+
numexpr==2.14.1
|
| 144 |
+
scs==3.2.9
|
| 145 |
+
importlib_resources==6.5.2
|
| 146 |
+
pyogrio==0.11.1
|
| 147 |
+
rapids-logger==0.1.19
|
| 148 |
+
google==2.0.3
|
| 149 |
+
blinker==1.9.0
|
| 150 |
+
colour==0.1.5
|
| 151 |
+
lightgbm==4.6.0
|
| 152 |
+
pylibraft-cu12==25.10.0
|
| 153 |
+
autograd==1.8.0
|
| 154 |
+
duckdb==1.3.2
|
| 155 |
+
typing_extensions==4.15.0
|
| 156 |
+
protobuf==5.29.5
|
| 157 |
+
argon2-cffi==25.1.0
|
| 158 |
+
Bottleneck==1.4.2
|
| 159 |
+
libucxx-cu12==0.46.0
|
| 160 |
+
libcugraph-cu12==25.10.1
|
| 161 |
+
huggingface-hub==0.36.0
|
| 162 |
+
fastapi==0.121.3
|
| 163 |
+
mistune==3.1.4
|
| 164 |
+
pyspark==3.5.1
|
| 165 |
+
ibis-framework==9.5.0
|
| 166 |
+
tqdm==4.67.1
|
| 167 |
+
seaborn==0.13.2
|
| 168 |
+
mdurl==0.1.2
|
| 169 |
+
stumpy==1.13.0
|
| 170 |
+
python-dotenv==1.2.1
|
| 171 |
+
psygnal==0.15.0
|
| 172 |
+
music21==9.3.0
|
| 173 |
+
Farama-Notifications==0.0.4
|
| 174 |
+
jsonschema-specifications==2025.9.1
|
| 175 |
+
xxhash==3.6.0
|
| 176 |
+
confection==0.1.5
|
| 177 |
+
treelite==4.4.1
|
| 178 |
+
httpimport==1.4.1
|
| 179 |
+
libpysal==4.13.0
|
| 180 |
+
cramjam==2.11.0
|
| 181 |
+
google-cloud-functions==1.21.0
|
| 182 |
+
grpcio-status==1.71.2
|
| 183 |
+
torchsummary==1.5.1
|
| 184 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 185 |
+
libucx-cu12==1.19.0
|
| 186 |
+
geopandas==1.1.1
|
| 187 |
+
toml==0.10.2
|
| 188 |
+
shapely==2.1.2
|
| 189 |
+
html5lib==1.1
|
| 190 |
+
antlr4-python3-runtime==4.9.3
|
| 191 |
+
clarabel==0.11.1
|
| 192 |
+
uvicorn==0.38.0
|
| 193 |
+
toolz==0.12.1
|
| 194 |
+
cloudpathlib==0.23.0
|
| 195 |
+
cupy-cuda12x==13.6.0
|
| 196 |
+
fastai==2.8.5
|
| 197 |
+
peewee==3.18.3
|
| 198 |
+
GitPython==3.1.45
|
| 199 |
+
aiohappyeyeballs==2.6.1
|
| 200 |
+
murmurhash==1.0.15
|
| 201 |
+
jax-cuda12-plugin==0.7.2
|
| 202 |
+
pyperclip==1.11.0
|
| 203 |
+
promise==2.3
|
| 204 |
+
jupyter_server==2.14.0
|
| 205 |
+
webcolors==25.10.0
|
| 206 |
+
imagesize==1.4.1
|
| 207 |
+
prettytable==3.17.0
|
| 208 |
+
alembic==1.17.2
|
| 209 |
+
progressbar2==4.5.0
|
| 210 |
+
requests==2.32.4
|
| 211 |
+
nvidia-ml-py==13.580.82
|
| 212 |
+
humanize==4.14.0
|
| 213 |
+
umap-learn==0.5.9.post2
|
| 214 |
+
h5netcdf==1.7.3
|
| 215 |
+
PyGObject==3.42.0
|
| 216 |
+
google-cloud-aiplatform==1.128.0
|
| 217 |
+
flatbuffers==25.9.23
|
| 218 |
+
optax==0.2.6
|
| 219 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
| 220 |
+
nx-cugraph-cu12==25.10.0
|
| 221 |
+
lark==1.3.1
|
| 222 |
+
tenacity==8.5.0
|
| 223 |
+
entrypoints==0.4
|
| 224 |
+
prompt_toolkit==3.0.52
|
| 225 |
+
fonttools==4.60.1
|
| 226 |
+
ffmpy==1.0.0
|
| 227 |
+
google-cloud-core==2.5.0
|
| 228 |
+
matplotlib-inline==0.2.1
|
| 229 |
+
sphinxcontrib-jsmath==1.0.1
|
| 230 |
+
ply==3.11
|
| 231 |
+
tweepy==4.16.0
|
| 232 |
+
en_core_web_sm==3.8.0
|
| 233 |
+
google-crc32c==1.7.1
|
| 234 |
+
libcudf-cu12==25.10.0
|
| 235 |
+
ipytree==0.2.2
|
| 236 |
+
ImageIO==2.37.2
|
| 237 |
+
rfc3339-validator==0.1.4
|
| 238 |
+
keras==3.10.0
|
| 239 |
+
opt_einsum==3.4.0
|
| 240 |
+
jupyter_server_terminals==0.5.3
|
| 241 |
+
rpds-py==0.29.0
|
| 242 |
+
threadpoolctl==3.6.0
|
| 243 |
+
urllib3==2.5.0
|
| 244 |
+
kagglehub==0.3.13
|
| 245 |
+
Flask==3.1.2
|
| 246 |
+
easydict==1.13
|
| 247 |
+
grpcio==1.76.0
|
| 248 |
+
ratelim==0.1.6
|
| 249 |
+
logical-unification==0.4.7
|
| 250 |
+
omegaconf==2.3.0
|
| 251 |
+
roman-numerals-py==3.1.0
|
| 252 |
+
dataproc-spark-connect==0.8.3
|
| 253 |
+
langchain-text-splitters==0.3.11
|
| 254 |
+
tinycss2==1.4.0
|
| 255 |
+
python-json-logger==4.0.0
|
| 256 |
+
scikit-image==0.25.2
|
| 257 |
+
highspy==1.12.0
|
| 258 |
+
tf-slim==1.1.0
|
| 259 |
+
torchtune==0.6.1
|
| 260 |
+
jupyter-console==6.6.3
|
| 261 |
+
spanner-graph-notebook==1.1.8
|
| 262 |
+
dill==0.3.8
|
| 263 |
+
tensorboard-data-server==0.7.2
|
| 264 |
+
slicer==0.0.8
|
| 265 |
+
keyring==25.7.0
|
| 266 |
+
arviz==0.22.0
|
| 267 |
+
sympy==1.13.3
|
| 268 |
+
google-cloud-resource-manager==1.15.0
|
| 269 |
+
traittypes==0.2.3
|
| 270 |
+
typer-slim==0.20.0
|
| 271 |
+
annotated-doc==0.0.4
|
| 272 |
+
hf-xet==1.2.0
|
| 273 |
+
dask-cuda==25.10.0
|
| 274 |
+
pymc==5.26.1
|
| 275 |
+
pynndescent==0.5.13
|
| 276 |
+
stanio==0.5.1
|
| 277 |
+
treescope==0.1.10
|
| 278 |
+
optree==0.18.0
|
| 279 |
+
propcache==0.4.1
|
| 280 |
+
rich==13.9.4
|
| 281 |
+
gcsfs==2025.3.0
|
| 282 |
+
torch==2.9.0+cu126
|
| 283 |
+
MarkupSafe==3.0.3
|
| 284 |
+
tzlocal==5.3.1
|
| 285 |
+
google-cloud-secret-manager==2.25.0
|
| 286 |
+
atpublic==5.1
|
| 287 |
+
gitdb==4.0.12
|
| 288 |
+
ruff==0.14.5
|
| 289 |
+
opentelemetry-exporter-gcp-monitoring==1.11.0a0
|
| 290 |
+
grpc-interceptor==0.15.4
|
| 291 |
+
opentelemetry-exporter-gcp-logging==1.11.0a0
|
| 292 |
+
fqdn==1.5.1
|
| 293 |
+
soxr==1.0.0
|
| 294 |
+
hf_transfer==0.1.9
|
| 295 |
+
pyasn1==0.6.1
|
| 296 |
+
geemap==0.35.3
|
| 297 |
+
regex==2024.11.6
|
| 298 |
+
ipython-sql==0.5.0
|
| 299 |
+
pyviz_comms==3.0.6
|
| 300 |
+
pydub==0.25.1
|
| 301 |
+
geographiclib==2.1
|
| 302 |
+
Jinja2==3.1.6
|
| 303 |
+
ipython-genutils==0.2.0
|
| 304 |
+
multiprocess==0.70.16
|
| 305 |
+
h11==0.16.0
|
| 306 |
+
tables==3.10.2
|
| 307 |
+
tensorflow-text==2.19.0
|
| 308 |
+
bokeh==3.7.3
|
| 309 |
+
opentelemetry-resourcedetector-gcp==1.11.0a0
|
| 310 |
+
beautifulsoup4==4.13.5
|
| 311 |
+
filelock==3.20.0
|
| 312 |
+
catalogue==2.0.10
|
| 313 |
+
fasttransform==0.0.2
|
| 314 |
+
typeguard==4.4.4
|
| 315 |
+
openpyxl==3.1.5
|
| 316 |
+
tokenizers==0.22.1
|
| 317 |
+
plotly==5.24.1
|
| 318 |
+
ucxx-cu12==0.46.0
|
| 319 |
+
branca==0.8.2
|
| 320 |
+
overrides==7.7.0
|
| 321 |
+
cuda-core==0.3.2
|
| 322 |
+
tensorflow-probability==0.25.0
|
| 323 |
+
xarray-einstats==0.9.1
|
| 324 |
+
tf_keras==2.19.0
|
| 325 |
+
referencing==0.37.0
|
| 326 |
+
argon2-cffi-bindings==25.1.0
|
| 327 |
+
librmm-cu12==25.10.0
|
| 328 |
+
nvidia-cusparse-cu12==12.5.4.2
|
| 329 |
+
google-cloud-discoveryengine==0.13.12
|
| 330 |
+
xgboost==3.1.1
|
| 331 |
+
diffusers==0.35.2
|
| 332 |
+
timm==1.0.22
|
| 333 |
+
PyDrive2==1.21.3
|
| 334 |
+
tblib==3.2.2
|
| 335 |
+
scooby==0.11.0
|
| 336 |
+
opencv-python-headless==4.12.0.88
|
| 337 |
+
wheel==0.45.1
|
| 338 |
+
firebase-admin==6.9.0
|
| 339 |
+
shap==0.50.0
|
| 340 |
+
jsonpointer==3.0.0
|
| 341 |
+
python-louvain==0.16
|
| 342 |
+
charset-normalizer==3.4.4
|
| 343 |
+
sqlglot==25.20.2
|
| 344 |
+
jsonschema==4.25.1
|
| 345 |
+
jieba==0.42.1
|
| 346 |
+
importlib_metadata==8.7.0
|
| 347 |
+
nvidia-cuda-nvrtc-cu12==12.6.77
|
| 348 |
+
editdistance==0.8.1
|
| 349 |
+
jax==0.7.2
|
| 350 |
+
google-api-core==2.28.1
|
| 351 |
+
shellingham==1.5.4
|
| 352 |
+
portpicker==1.5.2
|
| 353 |
+
cudf-cu12==25.10.0
|
| 354 |
+
gspread==6.2.1
|
| 355 |
+
pylibcudf-cu12==25.10.0
|
| 356 |
+
python-slugify==8.0.4
|
| 357 |
+
anywidget==0.9.21
|
| 358 |
+
distro==1.9.0
|
| 359 |
+
stringzilla==4.2.3
|
| 360 |
+
libcuml-cu12==25.10.0
|
| 361 |
+
graphviz==0.21
|
| 362 |
+
ipython==7.34.0
|
| 363 |
+
hyperopt==0.2.7
|
| 364 |
+
sniffio==1.3.1
|
| 365 |
+
python-utils==3.9.1
|
| 366 |
+
bigframes==2.29.1
|
| 367 |
+
folium==0.20.0
|
| 368 |
+
google-cloud-bigtable==2.34.0
|
| 369 |
+
text-unidecode==1.3
|
| 370 |
+
pydantic-settings==2.12.0
|
| 371 |
+
annotated-types==0.7.0
|
| 372 |
+
locket==1.0.0
|
| 373 |
+
pyproj==3.7.2
|
| 374 |
+
orbax-checkpoint==0.11.28
|
| 375 |
+
PyJWT==2.10.1
|
| 376 |
+
natsort==8.4.0
|
| 377 |
+
astropy-iers-data==0.2025.11.10.0.38.31
|
| 378 |
+
gym-notices==0.1.0
|
| 379 |
+
debugpy==1.8.15
|
| 380 |
+
weasel==0.4.3
|
| 381 |
+
PyOpenGL==3.1.10
|
| 382 |
+
pydata-google-auth==1.9.1
|
| 383 |
+
semantic-version==2.10.0
|
| 384 |
+
google-cloud-firestore==2.21.0
|
| 385 |
+
statsmodels==0.14.5
|
| 386 |
+
pycocotools==2.0.10
|
| 387 |
+
greenlet==3.2.4
|
| 388 |
+
Werkzeug==3.1.3
|
| 389 |
+
preshed==3.0.12
|
| 390 |
+
gymnasium==1.2.2
|
| 391 |
+
prometheus_client==0.23.1
|
| 392 |
+
triton==3.5.0
|
| 393 |
+
frozendict==2.4.7
|
| 394 |
+
multipledispatch==1.0.0
|
| 395 |
+
srsly==2.5.2
|
| 396 |
+
google-auth-httplib2==0.2.1
|
| 397 |
+
zstandard==0.25.0
|
| 398 |
+
uri-template==1.3.0
|
| 399 |
+
gradio==5.49.1
|
| 400 |
+
websockets==15.0.1
|
| 401 |
+
bigquery-magics==0.10.3
|
| 402 |
+
nvidia-cuda-nvcc-cu12==12.5.82
|
| 403 |
+
etils==1.13.0
|
| 404 |
+
cufflinks==0.17.3
|
| 405 |
+
simsimd==6.5.3
|
| 406 |
+
frozenlist==1.8.0
|
| 407 |
+
transformers==4.57.1
|
| 408 |
+
ale-py==0.11.2
|
| 409 |
+
orjson==3.11.4
|
| 410 |
+
jiter==0.12.0
|
| 411 |
+
safehttpx==0.1.7
|
| 412 |
+
google-auth==2.38.0
|
| 413 |
+
inflect==7.5.0
|
| 414 |
+
decorator==4.4.2
|
| 415 |
+
types-pytz==2025.2.0.20251108
|
| 416 |
+
cyipopt==1.5.0
|
| 417 |
+
imageio-ffmpeg==0.6.0
|
| 418 |
+
pyshp==3.0.2.post1
|
| 419 |
+
grpc-google-iam-v1==0.14.3
|
| 420 |
+
immutabledict==4.2.2
|
| 421 |
+
ipyparallel==8.8.0
|
| 422 |
+
beartype==0.22.5
|
| 423 |
+
keras-nlp==0.21.1
|
| 424 |
+
tensorflow-hub==0.16.1
|
| 425 |
+
yfinance==0.2.66
|
| 426 |
+
cuda-toolkit==12.9.1
|
| 427 |
+
googleapis-common-protos==1.72.0
|
| 428 |
+
google-generativeai==0.8.5
|
| 429 |
+
aiofiles==24.1.0
|
| 430 |
+
joblib==1.5.2
|
| 431 |
+
ndindex==1.10.1
|
| 432 |
+
nbformat==5.10.4
|
| 433 |
+
pygame==2.6.1
|
| 434 |
+
opentelemetry-proto==1.37.0
|
| 435 |
+
cachetools==5.5.2
|
| 436 |
+
sphinxcontrib-qthelp==2.0.0
|
| 437 |
+
albumentations==2.0.8
|
| 438 |
+
libraft-cu12==25.10.0
|
| 439 |
+
absl-py==1.4.0
|
| 440 |
+
simplejson==3.20.2
|
| 441 |
+
jupytext==1.17.3
|
| 442 |
+
raft-dask-cu12==25.10.0
|
| 443 |
+
pyomo==6.9.5
|
| 444 |
+
msgpack==1.1.2
|
| 445 |
+
tensorflow==2.19.0
|
| 446 |
+
dask==2025.9.1
|
| 447 |
+
aiohttp==3.13.2
|
| 448 |
+
future==1.0.0
|
| 449 |
+
bleach==6.3.0
|
| 450 |
+
cmdstanpy==1.3.0
|
| 451 |
+
wurlitzer==3.1.1
|
| 452 |
+
libkvikio-cu12==25.10.0
|
| 453 |
+
google-cloud-audit-log==0.4.0
|
| 454 |
+
packaging==25.0
|
| 455 |
+
defusedxml==0.7.1
|
| 456 |
+
google-auth-oauthlib==1.2.3
|
| 457 |
+
textblob==0.19.0
|
| 458 |
+
pexpect==4.9.0
|
| 459 |
+
Mako==1.3.10
|
| 460 |
+
cmake==3.31.6
|
| 461 |
+
eerepr==0.1.2
|
| 462 |
+
namex==0.1.0
|
| 463 |
+
sse-starlette==3.0.3
|
| 464 |
+
grpclib==0.4.8
|
| 465 |
+
jaraco.context==6.0.1
|
| 466 |
+
nbclient==0.10.2
|
| 467 |
+
scipy==1.16.3
|
| 468 |
+
miniKanren==1.0.5
|
| 469 |
+
nvidia-curand-cu12==10.3.7.77
|
| 470 |
+
sphinxcontrib-applehelp==2.0.0
|
| 471 |
+
python-dateutil==2.9.0.post0
|
| 472 |
+
librosa==0.11.0
|
| 473 |
+
ptyprocess==0.7.0
|
| 474 |
+
opentelemetry-api==1.37.0
|
| 475 |
+
nvtx==0.2.13
|
| 476 |
+
nvidia-cufile-cu12==1.11.1.6
|
| 477 |
+
plum-dispatch==2.6.0
|
| 478 |
+
kiwisolver==1.4.9
|
| 479 |
+
ipyleaflet==0.20.0
|
| 480 |
+
jaraco.functools==4.3.0
|
| 481 |
+
terminado==0.18.1
|
| 482 |
+
tensorflow_decision_forests==1.12.0
|
| 483 |
+
Send2Trash==1.8.3
|
| 484 |
+
flax==0.10.7
|
| 485 |
+
PyWavelets==1.9.0
|
| 486 |
+
brotli==1.2.0
|
| 487 |
+
mpmath==1.3.0
|
| 488 |
+
earthengine-api==1.5.24
|
| 489 |
+
isoduration==20.11.0
|
| 490 |
+
pytz==2025.2
|
| 491 |
+
tiktoken==0.12.0
|
| 492 |
+
traitlets==5.7.1
|
| 493 |
+
typer==0.20.0
|
| 494 |
+
plotnine==0.14.5
|
| 495 |
+
sphinxcontrib-devhelp==2.0.0
|
| 496 |
+
spacy==3.8.11
|
| 497 |
+
gym==0.25.2
|
| 498 |
+
google-cloud-datastore==2.21.0
|
| 499 |
+
torchdata==0.11.0
|
| 500 |
+
bqplot==0.12.45
|
| 501 |
+
missingno==0.5.2
|
| 502 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 503 |
+
param==2.3.0
|
| 504 |
+
tensorstore==0.1.79
|
| 505 |
+
ipyfilechooser==0.6.0
|
| 506 |
+
rfc3986-validator==0.1.1
|
| 507 |
+
nibabel==5.3.2
|
| 508 |
+
starlette==0.50.0
|
| 509 |
+
psutil==5.9.5
|
| 510 |
+
lazy_loader==0.4
|
| 511 |
+
smart_open==7.5.0
|
| 512 |
+
jupyter_core==5.9.1
|
| 513 |
+
pycairo==1.29.0
|
| 514 |
+
pytensor==2.35.1
|
| 515 |
+
hpack==4.1.0
|
| 516 |
+
smmap==5.0.2
|
| 517 |
+
httplib2==0.31.0
|
| 518 |
+
h2==4.3.0
|
| 519 |
+
nvidia-nccl-cu12==2.27.5
|
| 520 |
+
googledrivedownloader==1.1.0
|
| 521 |
+
SQLAlchemy==2.0.44
|
| 522 |
+
yellowbrick==1.5
|
| 523 |
+
cloudpickle==3.1.2
|
| 524 |
+
typing-inspection==0.4.2
|
| 525 |
+
cuml-cu12==25.10.0
|
| 526 |
+
tensorflow-metadata==1.17.2
|
| 527 |
+
hyperframe==6.1.0
|
| 528 |
+
numba-cuda==0.19.1
|
| 529 |
+
rpy2==3.5.17
|
| 530 |
+
cuda-bindings==12.9.4
|
| 531 |
+
langchain==0.3.27
|
| 532 |
+
array_record==0.8.3
|
| 533 |
+
google-cloud-appengine-logging==1.7.0
|
| 534 |
+
requests-oauthlib==2.0.0
|
| 535 |
+
lxml==5.4.0
|
| 536 |
+
rsa==4.9.1
|
| 537 |
+
thinc==8.3.10
|
| 538 |
+
tomlkit==0.13.3
|
| 539 |
+
blis==1.3.3
|
| 540 |
+
opentelemetry-sdk==1.37.0
|
| 541 |
+
kaggle==1.7.4.5
|
| 542 |
+
tcmlib==1.4.1
|
| 543 |
+
holidays==0.85
|
| 544 |
+
multidict==6.7.0
|
| 545 |
+
accelerate==1.11.0
|
| 546 |
+
pyerfa==2.0.1.5
|
| 547 |
+
babel==2.17.0
|
| 548 |
+
google-api-python-client==2.187.0
|
| 549 |
+
cffi==2.0.0
|
| 550 |
+
soupsieve==2.8
|
| 551 |
+
opencv-python==4.12.0.88
|
| 552 |
+
rapids-dask-dependency==25.10.0
|
| 553 |
+
chex==0.1.90
|
| 554 |
+
google-cloud-translate==3.23.0
|
| 555 |
+
python-snappy==0.7.3
|
| 556 |
+
xarray==2025.11.0
|
| 557 |
+
pillow==11.3.0
|
| 558 |
+
uritemplate==4.2.0
|
| 559 |
+
Cython==3.0.12
|
| 560 |
+
tensorflow-datasets==4.9.9
|
| 561 |
+
mkl==2025.2.0
|
| 562 |
+
cvxpy==1.6.7
|
| 563 |
+
spacy-loggers==1.0.5
|
| 564 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
| 565 |
+
spacy-legacy==3.0.12
|
| 566 |
+
fastrlock==0.8.3
|
| 567 |
+
aiosignal==1.4.0
|
| 568 |
+
osqp==1.0.5
|
| 569 |
+
astunparse==1.6.3
|
| 570 |
+
py-cpuinfo==9.0.0
|
| 571 |
+
nbclassic==1.3.3
|
| 572 |
+
pycryptodomex==3.23.0
|
| 573 |
+
anyio==4.11.0
|
| 574 |
+
ydf==0.13.0
|
| 575 |
+
parsy==2.2
|
| 576 |
+
einops==0.8.1
|
| 577 |
+
iniconfig==2.3.0
|
| 578 |
+
cycler==0.12.1
|
| 579 |
+
h5py==3.15.1
|
| 580 |
+
libclang==18.1.1
|
| 581 |
+
gdown==5.2.0
|
| 582 |
+
wasabi==1.1.3
|
| 583 |
+
httpx==0.28.1
|
| 584 |
+
termcolor==3.2.0
|
| 585 |
+
umf==1.0.2
|
| 586 |
+
mizani==0.13.5
|
| 587 |
+
astropy==7.1.1
|
| 588 |
+
opentelemetry-exporter-gcp-trace==1.11.0
|
| 589 |
+
pandas-datareader==0.10.0
|
| 590 |
+
nvidia-nvjitlink-cu12==12.6.85
|
| 591 |
+
pickleshare==0.7.5
|
| 592 |
+
community==1.0.0b1
|
| 593 |
+
prophet==1.1.7
|
| 594 |
+
jupyterlab_pygments==0.3.0
|
| 595 |
+
requests-toolbelt==1.0.0
|
| 596 |
+
gradio_client==1.13.3
|
| 597 |
+
pydantic==2.11.10
|
| 598 |
+
google-cloud-logging==3.12.1
|
| 599 |
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'h3110Fr13nd/guj-eng-code-switch-indic-bert-data3', 'hub_strategy': 'end', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'guj-eng-code-switch-indic-bert-data3', 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True}
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2025-11-22 16:36:09,579 INFO MainThread:8125 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 32856837 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7c092d0cdc10>>
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2025-11-22 16:36:09,579 INFO MainThread:8125 [wandb_run.py:_config_callback():1385] config_cb model/num_parameters 32856837 None
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2025-11-22 16:38:59,697 INFO MainThread:8125 [wandb_run.py:_finish():2270] finishing run h3110fr13nd-esparkbiz-technologies-pvt/gujarati-english-code-switch/m5him6ro
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2025-11-22 16:38:59,699 INFO MainThread:8125 [wandb_run.py:_atexit_cleanup():2469] got exitcode: 0
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2025-11-22 16:38:59,700 INFO MainThread:8125 [wandb_run.py:_restore():2451] restore
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2025-11-22 16:38:59,700 INFO MainThread:8125 [wandb_run.py:_restore():2457] restore done
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2025-11-22 16:39:00,468 INFO MainThread:8125 [wandb_run.py:_footer_sync_info():3853] logging synced files
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wandb_logs/run-20251122_163550-m5him6ro/run-m5him6ro.wandb
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