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--- |
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base_model: allenai/cs_roberta_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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model-index: |
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- name: cs_roberta_base-1 |
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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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# cs_roberta_base-1 |
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This model is a fine-tuned version of [allenai/cs_roberta_base](https://huggingface.co/allenai/cs_roberta_base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3743 |
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- Accuracy: 0.8905 |
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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: 46 |
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- eval_batch_size: 46 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 1.3782 | 1.0 | 1044 | 0.9372 | 0.79 | |
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| 0.7908 | 2.0 | 2088 | 0.6508 | 0.8418 | |
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| 0.5942 | 3.0 | 3132 | 0.5638 | 0.8604 | |
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| 0.4986 | 4.0 | 4176 | 0.4780 | 0.8707 | |
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| 0.4301 | 5.0 | 5220 | 0.4408 | 0.8794 | |
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| 0.3798 | 6.0 | 6264 | 0.4103 | 0.8821 | |
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| 0.3388 | 7.0 | 7308 | 0.3938 | 0.8842 | |
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| 0.3082 | 8.0 | 8352 | 0.3821 | 0.8909 | |
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| 0.2842 | 9.0 | 9396 | 0.3852 | 0.887 | |
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| 0.2674 | 10.0 | 10440 | 0.3743 | 0.8905 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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