---
base_model: gpt2
library_name: peft
license: mit
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: GPT-2-LORA-peft
  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. -->

# GPT-2-LORA-peft

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: 1.9035
- Accuracy: 0.2451

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 71   | 2.1070          | 0.2059   |
| No log        | 2.0   | 142  | 1.9541          | 0.2353   |
| No log        | 3.0   | 213  | 1.9301          | 0.2451   |
| No log        | 4.0   | 284  | 1.9179          | 0.2451   |
| No log        | 5.0   | 355  | 1.9116          | 0.2451   |
| No log        | 6.0   | 426  | 1.9067          | 0.2402   |
| No log        | 7.0   | 497  | 1.9041          | 0.2402   |
| 2.1037        | 8.0   | 568  | 1.9035          | 0.2451   |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1