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--- |
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license: apache-2.0 |
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base_model: Liberty-L/Multiple_Choice_EN |
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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: Multiple_Choice_EN |
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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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# Multiple_Choice_EN |
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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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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: 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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 24 |
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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: 5 |
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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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| 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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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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