---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: gpt2
model-index:
- name: results
  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. -->

# results

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: 4.3053

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.6964        | 1.0   | 13   | 4.3285          |
| 4.7895        | 2.0   | 26   | 4.3117          |
| 4.6501        | 3.0   | 39   | 4.3053          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.4.1+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1