End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/w2v-bert-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: w2v-bert-2.0-DF-3.0
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# w2v-bert-2.0-DF-3.0
+
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2216
+- Accuracy: 0.9596
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 42
+- eval_batch_size: 42
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 168
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0314        | 1.0   | 299  | 0.2092          | 0.9542   |
+| 0.0078        | 2.0   | 598  | 0.2216          | 0.9596   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.0a0+e000cf0ad9.nv24.10
+- Datasets 3.1.0
+- Tokenizers 0.20.3

runs/Nov22_14-14-19_42ed0a8a4a38/events.out.tfevents.1732318598.42ed0a8a4a38.22789.1

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