---
license: apache-2.0
base_model: pallie/mcQA_model_bert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mcQA_model_bert-finetuned-enem
  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. -->

# mcQA_model_bert-finetuned-enem

This model is a fine-tuned version of [pallie/mcQA_model_bert](https://huggingface.co/pallie/mcQA_model_bert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.2889

## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 467  | 1.6094          | 0.2192   |
| 1.617         | 2.0   | 934  | 1.6094          | 0.2481   |
| 1.6159        | 3.0   | 1401 | 1.6094          | 0.2889   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1