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--- |
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base_model: vinai/phobert-base-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: CS505-GPT_T3vsLabel2T5_CSI-PhoBERT |
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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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# CS505-GPT_T3vsLabel2T5_CSI-PhoBERT |
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0002 |
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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: 8 |
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- seed: 41 |
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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: 15 |
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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 | 332 | 0.1938 | |
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| 0.302 | 1.99 | 664 | 0.1052 | |
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| 0.302 | 2.99 | 996 | 0.0698 | |
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| 0.158 | 3.99 | 1328 | 0.0487 | |
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| 0.0811 | 4.98 | 1660 | 0.0182 | |
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| 0.0811 | 5.98 | 1992 | 0.0239 | |
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| 0.053 | 6.98 | 2324 | 0.0264 | |
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| 0.025 | 7.98 | 2656 | 0.0086 | |
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| 0.025 | 8.97 | 2988 | 0.0048 | |
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| 0.0135 | 9.97 | 3320 | 0.0035 | |
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| 0.0102 | 10.97 | 3652 | 0.0075 | |
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| 0.0102 | 11.96 | 3984 | 0.0027 | |
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| 0.0094 | 12.96 | 4316 | 0.0013 | |
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| 0.0057 | 13.96 | 4648 | 0.0005 | |
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| 0.0057 | 14.95 | 4980 | 0.0002 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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