---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: debiased_gpt_2
  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. -->

# debiased_gpt_2

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5492

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 1.8397          |
| No log        | 2.0   | 8    | 1.7641          |
| No log        | 3.0   | 12   | 1.5924          |
| No log        | 4.0   | 16   | 1.4858          |
| No log        | 5.0   | 20   | 1.4142          |
| No log        | 6.0   | 24   | 1.3215          |
| No log        | 7.0   | 28   | 1.2303          |
| No log        | 8.0   | 32   | 1.1587          |
| No log        | 9.0   | 36   | 1.1007          |
| No log        | 10.0  | 40   | 1.0435          |
| No log        | 11.0  | 44   | 0.9819          |
| No log        | 12.0  | 48   | 0.9346          |
| No log        | 13.0  | 52   | 0.8925          |
| No log        | 14.0  | 56   | 0.8457          |
| No log        | 15.0  | 60   | 0.8009          |
| No log        | 16.0  | 64   | 0.7653          |
| No log        | 17.0  | 68   | 0.7394          |
| No log        | 18.0  | 72   | 0.7197          |
| No log        | 19.0  | 76   | 0.6985          |
| No log        | 20.0  | 80   | 0.6767          |
| No log        | 21.0  | 84   | 0.6623          |
| No log        | 22.0  | 88   | 0.6489          |
| No log        | 23.0  | 92   | 0.6306          |
| No log        | 24.0  | 96   | 0.6136          |
| No log        | 25.0  | 100  | 0.6019          |
| No log        | 26.0  | 104  | 0.5947          |
| No log        | 27.0  | 108  | 0.5925          |
| No log        | 28.0  | 112  | 0.5917          |
| No log        | 29.0  | 116  | 0.5887          |
| No log        | 30.0  | 120  | 0.5837          |
| No log        | 31.0  | 124  | 0.5771          |
| No log        | 32.0  | 128  | 0.5718          |
| No log        | 33.0  | 132  | 0.5679          |
| No log        | 34.0  | 136  | 0.5652          |
| No log        | 35.0  | 140  | 0.5611          |
| No log        | 36.0  | 144  | 0.5581          |
| No log        | 37.0  | 148  | 0.5562          |
| No log        | 38.0  | 152  | 0.5568          |
| No log        | 39.0  | 156  | 0.5556          |
| No log        | 40.0  | 160  | 0.5559          |
| No log        | 41.0  | 164  | 0.5555          |
| No log        | 42.0  | 168  | 0.5534          |
| No log        | 43.0  | 172  | 0.5516          |
| No log        | 44.0  | 176  | 0.5506          |
| No log        | 45.0  | 180  | 0.5503          |
| No log        | 46.0  | 184  | 0.5499          |
| No log        | 47.0  | 188  | 0.5496          |
| No log        | 48.0  | 192  | 0.5492          |
| No log        | 49.0  | 196  | 0.5492          |
| No log        | 50.0  | 200  | 0.5492          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3