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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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metrics: |
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- accuracy |
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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-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: 0.1946 |
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- Accuracy: 0.9576 |
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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: 5e-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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 101 | 1.0266 | 0.8504 | |
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| No log | 2.0 | 202 | 0.4850 | 0.9451 | |
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| No log | 3.0 | 303 | 0.2802 | 0.9551 | |
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| No log | 4.0 | 404 | 0.2025 | 0.9576 | |
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| 0.6615 | 5.0 | 505 | 0.2072 | 0.9501 | |
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| 0.6615 | 6.0 | 606 | 0.2131 | 0.9426 | |
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| 0.6615 | 7.0 | 707 | 0.2189 | 0.9551 | |
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| 0.6615 | 8.0 | 808 | 0.1967 | 0.9576 | |
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| 0.6615 | 9.0 | 909 | 0.1958 | 0.9576 | |
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| 0.0705 | 10.0 | 1010 | 0.1946 | 0.9576 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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