---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_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_multiple_choice

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4499
- Accuracy: 0.535

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4892        | 1.0   | 3207  | 1.2930          | 0.485    |
| 1.2722        | 2.0   | 6414  | 1.2277          | 0.47     |
| 1.1139        | 3.0   | 9621  | 1.1827          | 0.495    |
| 0.9607        | 4.0   | 12828 | 1.1426          | 0.55     |
| 0.8117        | 5.0   | 16035 | 1.1891          | 0.53     |
| 0.6878        | 6.0   | 19242 | 1.1941          | 0.53     |
| 0.5874        | 7.0   | 22449 | 1.2868          | 0.54     |
| 0.4989        | 8.0   | 25656 | 1.3710          | 0.55     |
| 0.4274        | 9.0   | 28863 | 1.4499          | 0.535    |


### Framework versions

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