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--- |
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library_name: transformers |
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license: mit |
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base_model: ai4bharat/indic-bert |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: guj-eng-code-switch-indic-bert-data3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# guj-eng-code-switch-indic-bert-data3 |
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This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1909 |
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- Precision: 0.8836 |
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- Recall: 0.9042 |
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- F1: 0.8938 |
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- Accuracy: 0.9578 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.3428 | 1.0 | 247 | 0.3108 | 0.8107 | 0.8446 | 0.8273 | 0.9271 | |
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| 0.209 | 2.0 | 494 | 0.2041 | 0.8681 | 0.8953 | 0.8815 | 0.9502 | |
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| 0.1745 | 3.0 | 741 | 0.1909 | 0.8836 | 0.9042 | 0.8938 | 0.9578 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.4.1 |
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- Tokenizers 0.22.1 |
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