---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT-2-Base
  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-2-Base

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4397
- Accuracy: 0.5

## 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: 5e-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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 44   | 1.8580          | 0.2598   |
| No log        | 2.0   | 88   | 1.7766          | 0.2745   |
| No log        | 3.0   | 132  | 1.6079          | 0.4069   |
| No log        | 4.0   | 176  | 1.4671          | 0.5098   |
| No log        | 5.0   | 220  | 1.5152          | 0.4804   |
| No log        | 6.0   | 264  | 1.4397          | 0.5      |
| No log        | 7.0   | 308  | 1.4590          | 0.5098   |
| No log        | 8.0   | 352  | 1.5410          | 0.5049   |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1