---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-gpqa
  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-gpqa

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2227
- Accuracy: 0.9174

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 28   | 1.3863          | 0.2723   |
| No log        | 2.0   | 56   | 1.3860          | 0.3036   |
| No log        | 3.0   | 84   | 1.3855          | 0.3125   |
| No log        | 4.0   | 112  | 1.3841          | 0.3951   |
| No log        | 5.0   | 140  | 1.3562          | 0.5781   |
| No log        | 6.0   | 168  | 0.9820          | 0.6674   |
| No log        | 7.0   | 196  | 0.6106          | 0.7812   |
| No log        | 8.0   | 224  | 0.4142          | 0.8527   |
| No log        | 9.0   | 252  | 0.2647          | 0.9241   |
| No log        | 10.0  | 280  | 0.2227          | 0.9174   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2