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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_swap |
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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_swap |
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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: 1.2161 |
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- Accuracy: 0.71 |
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- F1: 0.7189 |
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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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| 0.8589 | 1.0 | 86 | 0.7220 | 0.68 | 0.6539 | |
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| 0.5437 | 2.0 | 172 | 0.6511 | 0.76 | 0.7644 | |
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| 0.3487 | 3.0 | 258 | 0.7482 | 0.72 | 0.7220 | |
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| 0.2285 | 4.0 | 344 | 0.8176 | 0.73 | 0.7394 | |
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| 0.1601 | 5.0 | 430 | 1.0206 | 0.72 | 0.7276 | |
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| 0.1113 | 6.0 | 516 | 1.1598 | 0.72 | 0.7272 | |
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| 0.1011 | 7.0 | 602 | 1.1584 | 0.7 | 0.7077 | |
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| 0.0837 | 8.0 | 688 | 1.2161 | 0.71 | 0.7189 | |
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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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