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Liberty-L
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Multiple_Choice_EN

Multiple Choice
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distilbert
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Liberty-L/Multiple_Choice_EN

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov25_07-12-31_bf28eaab11c9/events.out.tfevents.1700896351.bf28eaab11c9.669.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Liberty-L/Multiple_Choice_EN](https://huggingface.co/Liberty-L/Multiple_Choice_EN) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3347
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- - Accuracy: 0.4916
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 6
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  - eval_batch_size: 6
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1371 | 1.0 | 1059 | 3.3039 | 0.4568 |
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- | 0.2327 | 2.0 | 2118 | 2.3000 | 0.4868 |
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- | 0.5518 | 3.0 | 3177 | 1.7082 | 0.4958 |
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- | 0.3659 | 4.0 | 4237 | 2.0671 | 0.4882 |
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- | 0.258 | 5.0 | 5295 | 2.3347 | 0.4916 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Liberty-L/Multiple_Choice_EN](https://huggingface.co/Liberty-L/Multiple_Choice_EN) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2955
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+ - Accuracy: 0.5
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 6
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  - eval_batch_size: 6
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0265 | 1.0 | 1059 | 5.4158 | 0.4896 |
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+ | 0.009 | 2.0 | 2118 | 6.2986 | 0.4972 |
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+ | 0.0227 | 3.0 | 3177 | 6.3933 | 0.4903 |
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+ | 0.3182 | 4.0 | 4237 | 2.2352 | 0.5007 |
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+ | 0.2818 | 5.0 | 5295 | 2.2955 | 0.5 |
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  ### Framework versions
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