---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-gpqa-laundry-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-gpqa-laundry-v2

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: 12.8866
- Accuracy: 0.4978

## 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: 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   | 63   | 16.9548         | 0.2433   |
| No log        | 2.0   | 126  | 16.3764         | 0.3527   |
| No log        | 3.0   | 189  | 15.3188         | 0.4152   |
| No log        | 4.0   | 252  | 14.4714         | 0.4598   |
| No log        | 5.0   | 315  | 14.0562         | 0.4375   |
| No log        | 6.0   | 378  | 13.5433         | 0.4710   |
| No log        | 7.0   | 441  | 13.6167         | 0.4888   |
| 5.5435        | 8.0   | 504  | 13.6008         | 0.4911   |
| 5.5435        | 9.0   | 567  | 12.8866         | 0.4978   |
| 5.5435        | 10.0  | 630  | 12.9454         | 0.4888   |


### Framework versions

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