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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-L2T_AP1_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-L2T_AP1_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: 0.0045 |
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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: 10 |
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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 | 333 | 0.2105 | |
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| 0.2803 | 1.99 | 666 | 0.1425 | |
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| 0.2803 | 2.99 | 999 | 0.0768 | |
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| 0.149 | 3.99 | 1332 | 0.0577 | |
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| 0.0771 | 4.99 | 1665 | 0.0252 | |
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| 0.0771 | 5.98 | 1998 | 0.0281 | |
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| 0.0443 | 6.98 | 2331 | 0.0089 | |
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| 0.0196 | 7.98 | 2664 | 0.0053 | |
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| 0.0196 | 8.97 | 2997 | 0.0072 | |
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| 0.0124 | 9.97 | 3330 | 0.0045 | |
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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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