---
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
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# 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: 1.2879

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 48   | 1.4347          |
| No log        | 2.0   | 96   | 1.2810          |
| 1.3199        | 3.0   | 144  | 1.2442          |
| 1.3199        | 4.0   | 192  | 1.2476          |
| 0.879         | 5.0   | 240  | 1.2303          |
| 0.879         | 6.0   | 288  | 1.2328          |
| 0.7449        | 7.0   | 336  | 1.2577          |
| 0.7449        | 8.0   | 384  | 1.2879          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1