---
license: mit
base_model: irfanamal/roberta_multiple_choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta_science_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. -->

# roberta_science_multiple_choice

This model is a fine-tuned version of [irfanamal/roberta_multiple_choice](https://huggingface.co/irfanamal/roberta_multiple_choice) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3346
- Accuracy: 0.45

## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4708        | 1.0   | 12   | 1.2461          | 0.45     |
| 1.2799        | 2.0   | 24   | 1.2625          | 0.45     |
| 1.312         | 3.0   | 36   | 1.2617          | 0.45     |
| 1.1714        | 4.0   | 48   | 1.2674          | 0.45     |
| 1.0799        | 5.0   | 60   | 1.2686          | 0.45     |
| 1.0014        | 6.0   | 72   | 1.2848          | 0.45     |
| 0.9559        | 7.0   | 84   | 1.3105          | 0.4      |
| 0.8669        | 8.0   | 96   | 1.3343          | 0.45     |
| 0.8452        | 9.0   | 108  | 1.3330          | 0.4      |
| 0.7777        | 10.0  | 120  | 1.3253          | 0.45     |
| 0.6924        | 11.0  | 132  | 1.3346          | 0.45     |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3