---
base_model: gpt2
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2-lora

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: 2.2492

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.409         | 0.4737 | 200  | 2.2836          |
| 2.3443        | 0.9473 | 400  | 2.2642          |
| 2.3351        | 1.4210 | 600  | 2.2530          |
| 2.337         | 1.8946 | 800  | 2.2492          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1