---
license: mit
base_model: openai-community/gpt2-medium
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_gpt2_medium_d_gender_bias_gender_bias_ep_1_3_a_sqn_a_b_p_100_5_v_10
  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. -->

# model_gpt2_medium_d_gender_bias_gender_bias_ep_1_3_a_sqn_a_b_p_100_5_v_10

This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6237
- Accuracy: 0.7784
- F1 Micro: 0.7784
- Auc: 0.8486

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 64
- 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 | F1 Micro | Auc    |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:------:|
| 0.7716        | 0.2632 | 10   | 0.5949          | 0.7057   | 0.7057   | 0.7616 |
| 0.6115        | 0.5263 | 20   | 0.5305          | 0.7358   | 0.7358   | 0.8084 |
| 0.5723        | 0.7895 | 30   | 0.8684          | 0.6254   | 0.6254   | 0.8108 |
| 0.5526        | 1.0526 | 40   | 0.5311          | 0.7609   | 0.7609   | 0.8251 |
| 0.4619        | 1.3158 | 50   | 0.5312          | 0.7676   | 0.7676   | 0.8396 |
| 0.4556        | 1.5789 | 60   | 0.6235          | 0.6923   | 0.6923   | 0.8349 |
| 0.5434        | 1.8421 | 70   | 0.5453          | 0.7617   | 0.7617   | 0.8319 |
| 0.4141        | 2.1053 | 80   | 0.5142          | 0.7667   | 0.7667   | 0.8406 |
| 0.2681        | 2.3684 | 90   | 0.5732          | 0.7843   | 0.7843   | 0.8451 |
| 0.2561        | 2.6316 | 100  | 0.6299          | 0.7567   | 0.7567   | 0.8464 |
| 0.3531        | 2.8947 | 110  | 0.6237          | 0.7784   | 0.7784   | 0.8486 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1