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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_backtranslation |
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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_backtranslation |
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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: 1.1713 |
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- Accuracy: 0.69 |
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- F1: 0.6970 |
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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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| 0.8557 | 1.0 | 86 | 0.7842 | 0.7 | 0.6993 | |
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| 0.5489 | 2.0 | 172 | 0.6702 | 0.74 | 0.7413 | |
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| 0.3877 | 3.0 | 258 | 0.8122 | 0.68 | 0.6807 | |
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| 0.2813 | 4.0 | 344 | 0.8146 | 0.73 | 0.7413 | |
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| 0.1919 | 5.0 | 430 | 0.9890 | 0.71 | 0.7218 | |
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| 0.1669 | 6.0 | 516 | 1.0436 | 0.68 | 0.6876 | |
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| 0.1423 | 7.0 | 602 | 1.1447 | 0.69 | 0.6976 | |
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| 0.103 | 8.0 | 688 | 1.1713 | 0.69 | 0.6970 | |
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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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