---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: gpt_model
  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. -->

# gpt_model

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: 0.1091
- Precision: 0.4781
- Recall: 0.4102
- F1: 0.4415
- Accuracy: 0.9601

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 250  | 0.1237          | 0.4231    | 0.3799 | 0.4003 | 0.9566   |
| 0.2052        | 2.0   | 500  | 0.1117          | 0.4723    | 0.3790 | 0.4205 | 0.9598   |
| 0.2052        | 3.0   | 750  | 0.1102          | 0.4800    | 0.3928 | 0.4321 | 0.9601   |
| 0.1115        | 4.0   | 1000 | 0.1091          | 0.4781    | 0.4102 | 0.4415 | 0.9601   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1