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Liberty-L
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Multiple_Choice

Multiple Choice
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distilbert
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Liberty-L/Multiple_Choice

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov27_04-20-11_6e758d8bc7e0/events.out.tfevents.1701058812.6e758d8bc7e0.472.0 +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](https://huggingface.co/Liberty-L/Multiple_Choice) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4326
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- - Accuracy: 0.5334
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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-06
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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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- | 0.5191 | 1.0 | 1059 | 1.4642 | 0.5251 |
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- | 0.3238 | 2.0 | 2118 | 1.7293 | 0.5209 |
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- | 0.6409 | 3.0 | 3177 | 1.3790 | 0.5286 |
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- | 0.6023 | 4.0 | 4237 | 1.4161 | 0.5313 |
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- | 0.5799 | 5.0 | 5295 | 1.4326 | 0.5334 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Liberty-L/Multiple_Choice](https://huggingface.co/Liberty-L/Multiple_Choice) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5071
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+ - Accuracy: 0.5279
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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-08
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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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+ | 0.3178 | 1.0 | 1059 | 1.4420 | 0.5265 |
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+ | 0.2244 | 2.0 | 2118 | 1.5162 | 0.5265 |
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+ | 0.5162 | 3.0 | 3177 | 1.5164 | 0.5272 |
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+ | 0.6076 | 4.0 | 4237 | 1.5090 | 0.5279 |
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+ | 0.6052 | 5.0 | 5295 | 1.5071 | 0.5279 |
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  ### Framework versions
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