safetensors generated_from_trainer base_model:gpt2 license:mit region:us
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-large-peft
  results: []
---

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# gpt2-large-peft

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0898

## 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: 0.005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.383         | 1.0   | 824  | 1.2637          |
| 1.3073        | 2.0   | 1648 | 1.1951          |
| 1.2566        | 3.0   | 2472 | 1.1491          |
| 1.2234        | 4.0   | 3296 | 1.1149          |
| 1.1816        | 5.0   | 4120 | 1.0898          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
