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--- |
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library_name: transformers |
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license: mit |
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base_model: vinai/phobert-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Model |
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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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# Model |
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4924 |
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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: 16 |
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- seed: 42 |
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- optimizer: Use adamw_torch 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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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 347 | 3.4224 | |
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| 0.0766 | 2.0 | 694 | 3.0937 | |
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| 0.0569 | 3.0 | 1041 | 3.4725 | |
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| 0.0569 | 4.0 | 1388 | 3.3484 | |
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| 0.0365 | 5.0 | 1735 | 3.5406 | |
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| 0.0364 | 6.0 | 2082 | 3.3922 | |
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| 0.0364 | 7.0 | 2429 | 3.2977 | |
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| 0.0353 | 8.0 | 2776 | 3.3093 | |
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| 0.0136 | 9.0 | 3123 | 3.5960 | |
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| 0.0136 | 10.0 | 3470 | 3.5143 | |
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| 0.0249 | 11.0 | 3817 | 3.5032 | |
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| 0.0156 | 12.0 | 4164 | 3.5010 | |
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| 0.0154 | 13.0 | 4511 | 3.4902 | |
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| 0.0154 | 14.0 | 4858 | 3.5322 | |
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| 0.0116 | 15.0 | 5205 | 3.4929 | |
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| 0.0066 | 16.0 | 5552 | 3.5660 | |
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| 0.0066 | 17.0 | 5899 | 3.5789 | |
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| 0.0053 | 18.0 | 6246 | 3.5614 | |
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| 0.003 | 19.0 | 6593 | 3.5579 | |
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| 0.003 | 20.0 | 6940 | 3.5902 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.21.0 |
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