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--- |
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library_name: transformers |
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license: mit |
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base_model: FacebookAI/roberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: fold_4_model_roberta |
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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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# fold_4_model_roberta |
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6094 |
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- F1: 0.7390 |
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- Roc Auc: 0.8019 |
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- Accuracy: 0.4144 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| 0.0424 | 1.0 | 111 | 0.6255 | 0.7252 | 0.7940 | 0.3784 | |
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| 0.0322 | 2.0 | 222 | 0.6856 | 0.7102 | 0.7831 | 0.3514 | |
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| 0.0205 | 3.0 | 333 | 0.6094 | 0.7390 | 0.8019 | 0.4144 | |
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| 0.0169 | 4.0 | 444 | 0.6782 | 0.7135 | 0.7842 | 0.3694 | |
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| 0.0149 | 5.0 | 555 | 0.6594 | 0.7262 | 0.7939 | 0.3784 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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