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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-Final_Mixed-aug_insert_BERT-2 |
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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-Final_Mixed-aug_insert_BERT-2 |
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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: 1.0732 |
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- Accuracy: 0.7 |
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- F1: 0.7004 |
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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: 40 |
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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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| 0.944 | 1.0 | 88 | 0.8199 | 0.66 | 0.6427 | |
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| 0.6694 | 2.0 | 176 | 0.7223 | 0.7 | 0.7007 | |
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| 0.4933 | 3.0 | 264 | 0.7039 | 0.73 | 0.7321 | |
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| 0.3532 | 4.0 | 352 | 0.7914 | 0.73 | 0.7297 | |
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| 0.2619 | 5.0 | 440 | 0.8506 | 0.72 | 0.7176 | |
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| 0.1807 | 6.0 | 528 | 0.9830 | 0.71 | 0.7090 | |
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| 0.1365 | 7.0 | 616 | 1.0183 | 0.7 | 0.7016 | |
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| 0.1035 | 8.0 | 704 | 1.0732 | 0.7 | 0.7004 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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