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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-NerCSI-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-NerCSI-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: 0.0122 |
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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 | 369 | 0.2480 | |
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| 0.386 | 2.0 | 738 | 0.1726 | |
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| 0.2271 | 3.0 | 1107 | 0.1316 | |
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| 0.2271 | 4.0 | 1476 | 0.0847 | |
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| 0.1506 | 5.0 | 1845 | 0.0519 | |
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| 0.0895 | 6.0 | 2214 | 0.0376 | |
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| 0.0582 | 7.0 | 2583 | 0.0256 | |
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| 0.0582 | 8.0 | 2952 | 0.0181 | |
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| 0.035 | 9.0 | 3321 | 0.0158 | |
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| 0.0228 | 10.0 | 3690 | 0.0122 | |
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### Framework versions |
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- Transformers 4.38.2 |
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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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