---
license: apache-2.0
base_model: Liberty-L/Multiple_Choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Multiple_Choice
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Multiple_Choice

This model is a fine-tuned version of [Liberty-L/Multiple_Choice](https://huggingface.co/Liberty-L/Multiple_Choice) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5071
- Accuracy: 0.5279

## 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: 5e-08
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3178        | 1.0   | 1059 | 1.4420          | 0.5265   |
| 0.2244        | 2.0   | 2118 | 1.5162          | 0.5265   |
| 0.5162        | 3.0   | 3177 | 1.5164          | 0.5272   |
| 0.6076        | 4.0   | 4237 | 1.5090          | 0.5279   |
| 0.6052        | 5.0   | 5295 | 1.5071          | 0.5279   |


### Framework versions

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