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--- |
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base_model: vinai/phobert-base |
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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-detail-in-Non_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-detail-in-Non_OCR |
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2965 |
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- Accuracy: 0.95 |
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- F1: 0.9359 |
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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: 7 |
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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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| 1.5312 | 1.0 | 25 | 1.2681 | 0.55 | 0.4060 | |
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| 1.1478 | 2.0 | 50 | 0.8709 | 0.82 | 0.7465 | |
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| 0.7779 | 3.0 | 75 | 0.5259 | 0.92 | 0.8928 | |
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| 0.528 | 4.0 | 100 | 0.3918 | 0.92 | 0.8928 | |
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| 0.4236 | 5.0 | 125 | 0.3363 | 0.94 | 0.9254 | |
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| 0.3641 | 6.0 | 150 | 0.3035 | 0.95 | 0.9359 | |
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| 0.3356 | 7.0 | 175 | 0.2965 | 0.95 | 0.9359 | |
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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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