---
license: mit
tags:
- generated_from_trainer
base_model: gpt2
model-index:
- name: gpt2-evy
  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. -->

# gpt2-evy

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: 1.2693

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 7    | 1.5530          |
| No log        | 2.0   | 14   | 1.4601          |
| No log        | 3.0   | 21   | 1.3953          |
| No log        | 4.0   | 28   | 1.3557          |
| No log        | 5.0   | 35   | 1.3301          |
| No log        | 6.0   | 42   | 1.3117          |
| No log        | 7.0   | 49   | 1.2968          |
| No log        | 8.0   | 56   | 1.2832          |
| No log        | 9.0   | 63   | 1.2769          |
| No log        | 10.0  | 70   | 1.2807          |
| No log        | 11.0  | 77   | 1.2698          |
| No log        | 12.0  | 84   | 1.2707          |
| No log        | 13.0  | 91   | 1.2747          |
| No log        | 14.0  | 98   | 1.2695          |
| 1.0557        | 15.0  | 105  | 1.2699          |
| 1.0557        | 16.0  | 112  | 1.2656          |
| 1.0557        | 17.0  | 119  | 1.2711          |
| 1.0557        | 18.0  | 126  | 1.2696          |
| 1.0557        | 19.0  | 133  | 1.2691          |
| 1.0557        | 20.0  | 140  | 1.2693          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1