---
library_name: peft
license: mit
base_model: gpt2
tags:
- base_model:adapter:gpt2
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gpt2_lora_instruction
  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_lora_instruction

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: nan

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.577         | 1.0   | 10530  | 1.5139          |
| 1.5405        | 2.0   | 21060  | 1.4920          |
| 1.4831        | 3.0   | 31590  | 1.4804          |
| 1.5491        | 4.0   | 42120  | 1.4737          |
| 0.0           | 5.0   | 52650  | nan             |
| 0.0           | 6.0   | 63180  | nan             |
| 0.0           | 7.0   | 73710  | nan             |
| 0.0           | 8.0   | 84240  | nan             |
| 0.0           | 9.0   | 94770  | nan             |
| 0.0           | 10.0  | 105300 | nan             |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1