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--- |
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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: roberta-mc-3 |
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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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# roberta-mc-3 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5988 |
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- Accuracy: 0.3 |
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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: 5e-07 |
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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: 30 |
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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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| 1.6111 | 1.0 | 24 | 1.6061 | 0.4 | |
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| 1.6003 | 2.0 | 48 | 1.6062 | 0.4 | |
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| 1.6049 | 3.0 | 72 | 1.6062 | 0.4 | |
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| 1.5936 | 4.0 | 96 | 1.6059 | 0.4 | |
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| 1.6073 | 5.0 | 120 | 1.6057 | 0.4 | |
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| 1.6001 | 6.0 | 144 | 1.6055 | 0.3 | |
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| 1.5925 | 7.0 | 168 | 1.6052 | 0.3 | |
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| 1.5971 | 8.0 | 192 | 1.6050 | 0.3 | |
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| 1.597 | 9.0 | 216 | 1.6047 | 0.3 | |
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| 1.5956 | 10.0 | 240 | 1.6042 | 0.3 | |
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| 1.5882 | 11.0 | 264 | 1.6036 | 0.3 | |
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| 1.5944 | 12.0 | 288 | 1.6034 | 0.3 | |
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| 1.5941 | 13.0 | 312 | 1.6032 | 0.3 | |
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| 1.5941 | 14.0 | 336 | 1.6029 | 0.3 | |
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| 1.5825 | 15.0 | 360 | 1.6024 | 0.3 | |
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| 1.5817 | 16.0 | 384 | 1.6019 | 0.3 | |
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| 1.5922 | 17.0 | 408 | 1.6014 | 0.3 | |
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| 1.5915 | 18.0 | 432 | 1.6011 | 0.3 | |
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| 1.5822 | 19.0 | 456 | 1.6007 | 0.3 | |
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| 1.5967 | 20.0 | 480 | 1.6001 | 0.3 | |
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| 1.5887 | 21.0 | 504 | 1.5999 | 0.3 | |
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| 1.5905 | 22.0 | 528 | 1.5997 | 0.3 | |
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| 1.5828 | 23.0 | 552 | 1.5994 | 0.3 | |
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| 1.5851 | 24.0 | 576 | 1.5992 | 0.3 | |
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| 1.5789 | 25.0 | 600 | 1.5991 | 0.3 | |
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| 1.5797 | 26.0 | 624 | 1.5990 | 0.3 | |
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| 1.5845 | 27.0 | 648 | 1.5989 | 0.3 | |
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| 1.5992 | 28.0 | 672 | 1.5988 | 0.3 | |
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| 1.5791 | 29.0 | 696 | 1.5988 | 0.3 | |
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| 1.5785 | 30.0 | 720 | 1.5988 | 0.3 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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