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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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- f1 |
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model-index: |
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- name: PhoBERT-train-aug_insert_BERT |
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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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# PhoBERT-train-aug_insert_BERT |
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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: 1.1962 |
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- Accuracy: 0.72 |
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- F1: 0.7303 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.8879 | 1.0 | 87 | 0.7145 | 0.68 | 0.6453 | |
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| 0.586 | 2.0 | 174 | 0.6479 | 0.72 | 0.7265 | |
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| 0.3982 | 3.0 | 261 | 0.7353 | 0.72 | 0.7292 | |
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| 0.2815 | 4.0 | 348 | 0.8297 | 0.71 | 0.7152 | |
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| 0.2042 | 5.0 | 435 | 0.9852 | 0.71 | 0.7197 | |
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| 0.1438 | 6.0 | 522 | 1.0917 | 0.71 | 0.7198 | |
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| 0.1327 | 7.0 | 609 | 1.1657 | 0.72 | 0.7303 | |
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| 0.1016 | 8.0 | 696 | 1.1962 | 0.72 | 0.7303 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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