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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_delete |
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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_delete |
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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: 1.2677 |
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- Accuracy: 0.7 |
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- F1: 0.6952 |
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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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| 0.9293 | 1.0 | 88 | 0.7964 | 0.67 | 0.6494 | |
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| 0.6574 | 2.0 | 176 | 0.7447 | 0.69 | 0.6842 | |
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| 0.4468 | 3.0 | 264 | 0.8170 | 0.7 | 0.6904 | |
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| 0.2964 | 4.0 | 352 | 0.8311 | 0.68 | 0.6751 | |
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| 0.1996 | 5.0 | 440 | 1.0457 | 0.7 | 0.6962 | |
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| 0.1475 | 6.0 | 528 | 1.1385 | 0.71 | 0.7026 | |
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| 0.0796 | 7.0 | 616 | 1.2282 | 0.7 | 0.6922 | |
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| 0.0785 | 8.0 | 704 | 1.2677 | 0.7 | 0.6952 | |
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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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