---
license: apache-2.0
base_model: Liberty-L/Multiple_Choice_EN
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Multiple_Choice_EN
  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_EN

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.
It achieves the following results on the evaluation set:
- Loss: 2.2955
- Accuracy: 0.5

## 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-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0265        | 1.0   | 1059 | 5.4158          | 0.4896   |
| 0.009         | 2.0   | 2118 | 6.2986          | 0.4972   |
| 0.0227        | 3.0   | 3177 | 6.3933          | 0.4903   |
| 0.3182        | 4.0   | 4237 | 2.2352          | 0.5007   |
| 0.2818        | 5.0   | 5295 | 2.2955          | 0.5      |


### Framework versions

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