---
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-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-base-uncased-gpqa

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3847
- Accuracy: 0.8939

## 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: 16
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 13   | 1.3835          | 0.2525   |
| No log        | 2.0   | 26   | 1.3694          | 0.3838   |
| No log        | 3.0   | 39   | 1.3625          | 0.3838   |
| No log        | 4.0   | 52   | 1.3641          | 0.3485   |
| No log        | 5.0   | 65   | 1.3295          | 0.5404   |
| No log        | 6.0   | 78   | 1.3407          | 0.4949   |
| No log        | 7.0   | 91   | 1.2322          | 0.6162   |
| No log        | 8.0   | 104  | 1.1000          | 0.5758   |
| No log        | 9.0   | 117  | 1.1184          | 0.6717   |
| No log        | 10.0  | 130  | 0.8604          | 0.7525   |
| No log        | 11.0  | 143  | 0.7279          | 0.7727   |
| No log        | 12.0  | 156  | 0.6254          | 0.7929   |
| No log        | 13.0  | 169  | 0.5025          | 0.8636   |
| No log        | 14.0  | 182  | 0.8694          | 0.7071   |
| No log        | 15.0  | 195  | 0.4373          | 0.8535   |
| No log        | 16.0  | 208  | 0.4071          | 0.9141   |
| No log        | 17.0  | 221  | 0.6762          | 0.8131   |
| No log        | 18.0  | 234  | 0.6295          | 0.8333   |
| No log        | 19.0  | 247  | 0.3242          | 0.8687   |
| No log        | 20.0  | 260  | 0.3847          | 0.8939   |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0