---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: openai-community/gpt2
model-index:
- name: outputs
  results: []
pipeline_tag: text-generation
---

<!-- 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. -->

# outputs

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co./openai-community/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0494

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9872        | 4.0   | 184  | 1.7517          |
| 1.769         | 8.0   | 368  | 1.3586          |
| 1.5071        | 12.0  | 552  | 1.2644          |
| 1.4096        | 16.0  | 736  | 1.2088          |
| 1.3405        | 20.0  | 920  | 1.1738          |
| 1.2971        | 24.0  | 1104 | 1.1478          |
| 1.2609        | 28.0  | 1288 | 1.1241          |
| 1.2328        | 32.0  | 1472 | 1.1112          |
| 1.2087        | 36.0  | 1656 | 1.0996          |
| 1.1919        | 40.0  | 1840 | 1.0918          |
| 1.1687        | 44.0  | 2024 | 1.0868          |
| 1.157         | 48.0  | 2208 | 1.0768          |
| 1.1436        | 52.0  | 2392 | 1.0724          |
| 1.1296        | 56.0  | 2576 | 1.0684          |
| 1.1147        | 60.0  | 2760 | 1.0657          |
| 1.1082        | 64.0  | 2944 | 1.0622          |
| 1.102         | 68.0  | 3128 | 1.0578          |
| 1.0925        | 72.0  | 3312 | 1.0573          |
| 1.0865        | 76.0  | 3496 | 1.0533          |
| 1.0786        | 80.0  | 3680 | 1.0534          |
| 1.076         | 84.0  | 3864 | 1.0523          |
| 1.0764        | 88.0  | 4048 | 1.0505          |
| 1.0685        | 92.0  | 4232 | 1.0495          |
| 1.0684        | 96.0  | 4416 | 1.0489          |
| 1.0662        | 100.0 | 4600 | 1.0494          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2