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--- |
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license: mit |
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base_model: roberta-large |
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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: results |
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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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# results |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0605 |
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- F1: 0.9264 |
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- Roc Auc: 0.9583 |
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- Accuracy: 0.9364 |
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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: 0.003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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 | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 289 | 0.1752 | 0.7926 | 0.8617 | 0.8295 | |
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| 0.1506 | 2.0 | 578 | 0.0964 | 0.8924 | 0.9262 | 0.9102 | |
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| 0.1506 | 3.0 | 867 | 0.0782 | 0.9116 | 0.9517 | 0.9233 | |
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| 0.0518 | 4.0 | 1156 | 0.0695 | 0.9132 | 0.9309 | 0.9284 | |
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| 0.0518 | 5.0 | 1445 | 0.0626 | 0.9320 | 0.9628 | 0.9395 | |
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| 0.0284 | 6.0 | 1734 | 0.0595 | 0.9270 | 0.9621 | 0.9364 | |
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| 0.0109 | 7.0 | 2023 | 0.0605 | 0.9264 | 0.9583 | 0.9364 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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