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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-cls-OCR |
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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-cls-OCR |
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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: 0.5749 |
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- Accuracy: 0.8515 |
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- F1: 0.8504 |
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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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| 0.5828 | 1.0 | 25 | 0.4474 | 0.8119 | 0.8093 | |
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| 0.3067 | 2.0 | 50 | 0.3924 | 0.8218 | 0.8199 | |
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| 0.1806 | 3.0 | 75 | 0.3979 | 0.8416 | 0.8399 | |
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| 0.1043 | 4.0 | 100 | 0.4770 | 0.8317 | 0.8294 | |
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| 0.0688 | 5.0 | 125 | 0.5007 | 0.8614 | 0.8607 | |
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| 0.0406 | 6.0 | 150 | 0.5332 | 0.8614 | 0.8614 | |
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| 0.0387 | 7.0 | 175 | 0.5748 | 0.8515 | 0.8504 | |
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| 0.0328 | 8.0 | 200 | 0.5749 | 0.8515 | 0.8504 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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