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--- |
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library_name: transformers |
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license: agpl-3.0 |
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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_55k_boduoi_test14k |
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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_55k_boduoi_test14k |
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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: 0.9433 |
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- Accuracy: 0.8078 |
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- F1: 0.8537 |
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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: 32 |
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- eval_batch_size: 32 |
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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: cosine_with_restarts |
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- num_epochs: 10 |
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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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| 0.3601 | 1.0 | 1725 | 0.7095 | 0.7082 | 0.7864 | |
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| 0.2727 | 2.0 | 3450 | 0.6126 | 0.7577 | 0.8202 | |
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| 0.229 | 3.0 | 5175 | 0.7614 | 0.7444 | 0.8116 | |
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| 0.1946 | 4.0 | 6900 | 0.6227 | 0.7929 | 0.8439 | |
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| 0.1633 | 5.0 | 8625 | 0.7921 | 0.7551 | 0.8190 | |
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| 0.1378 | 6.0 | 10350 | 0.7906 | 0.7750 | 0.8323 | |
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| 0.1161 | 7.0 | 12075 | 0.8249 | 0.7990 | 0.8480 | |
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| 0.1 | 8.0 | 13800 | 0.8345 | 0.8257 | 0.8652 | |
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| 0.0917 | 9.0 | 15525 | 0.8945 | 0.8113 | 0.8560 | |
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| 0.0852 | 10.0 | 17250 | 0.9433 | 0.8078 | 0.8537 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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