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# multiple_choice_model

This model is a fine-tuned version of [Liberty-L/multiple_choice_model](https://huggingface.co/Liberty-L/multiple_choice_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3842
- Accuracy: 0.3084

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-08
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3881        | 1.0   | 786  | 1.3844          | 0.3079   |
| 1.389         | 2.0   | 1572 | 1.3843          | 0.3073   |
| 1.3897        | 3.0   | 2358 | 1.3842          | 0.3084   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "Liberty-L/multiple_choice_model", "model-index": [{"name": "multiple_choice_model", "results": []}]}
transformers tensorboard safetensors bert multiple-choice generated_from_trainer base_model:Liberty-L/multiple_choice_model endpoints_compatible region:us