---
license: mit
base_model: openai-community/gpt2-medium
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_gpt2_medium_d_political_bias_ep_2_sqn_a_p_100_v_1
  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_political_bias_ep_2_sqn_a_p_100_v_1

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: 0.4577
- Balanced Accuracy: 0.7785
- Accuracy: 0.7784
- F1 Micro: 0.7784
- F1 Macro: 0.7781
- Precision Micro: 0.7784
- Precision Macro: 0.7801
- Recall Micro: 0.7784
- Recall Macro: 0.7785
- Auc: 0.8765

## 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: 2e-05
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | F1 Micro | F1 Macro | Precision Micro | Precision Macro | Recall Micro | Recall Macro | Auc    |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|:------:|
| 0.6433        | 1.0   | 727  | 0.4741          | 0.7665            | 0.7663   | 0.7663   | 0.7662   | 0.7663          | 0.7671          | 0.7663       | 0.7665       | 0.8560 |
| 0.4554        | 2.0   | 1454 | 0.4577          | 0.7785            | 0.7784   | 0.7784   | 0.7781   | 0.7784          | 0.7801          | 0.7784       | 0.7785       | 0.8765 |


### Framework versions

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