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--- |
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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: results |
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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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# results |
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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: 2.2168 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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 | 1.7080 | |
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| 1.7499 | 2.0 | 694 | 1.6328 | |
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| 1.5826 | 3.0 | 1041 | 1.5591 | |
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| 1.5826 | 4.0 | 1388 | 1.5279 | |
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| 1.4058 | 5.0 | 1735 | 1.5295 | |
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| 1.2876 | 6.0 | 2082 | 1.4994 | |
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| 1.2876 | 7.0 | 2429 | 1.5424 | |
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| 1.1541 | 8.0 | 2776 | 1.5887 | |
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| 1.0159 | 9.0 | 3123 | 1.6156 | |
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| 1.0159 | 10.0 | 3470 | 1.6521 | |
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| 0.908 | 11.0 | 3817 | 1.7413 | |
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| 0.7714 | 12.0 | 4164 | 1.8127 | |
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| 0.6767 | 13.0 | 4511 | 1.8821 | |
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| 0.6767 | 14.0 | 4858 | 1.9855 | |
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| 0.5607 | 15.0 | 5205 | 2.0127 | |
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| 0.4934 | 16.0 | 5552 | 2.0784 | |
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| 0.4934 | 17.0 | 5899 | 2.1366 | |
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| 0.4446 | 18.0 | 6246 | 2.1425 | |
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| 0.3855 | 19.0 | 6593 | 2.1683 | |
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| 0.3855 | 20.0 | 6940 | 2.1682 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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