---
license: apache-2.0
base_model: irfanamal/bert_multiple_choice
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_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. -->

# bert_science_multiple_choice

This model is a fine-tuned version of [irfanamal/bert_multiple_choice](https://huggingface.co/irfanamal/bert_multiple_choice) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4764
- Accuracy: 0.53

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.365         | 1.0   | 1713  | 1.3182          | 0.485    |
| 1.2475        | 2.0   | 3426  | 1.2630          | 0.485    |
| 1.1336        | 3.0   | 5139  | 1.2537          | 0.49     |
| 1.012         | 4.0   | 6852  | 1.2563          | 0.5      |
| 0.89          | 5.0   | 8565  | 1.2743          | 0.51     |
| 0.7699        | 6.0   | 10278 | 1.3385          | 0.51     |
| 0.6614        | 7.0   | 11991 | 1.3663          | 0.515    |
| 0.5717        | 8.0   | 13704 | 1.4764          | 0.53     |


### Framework versions

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