---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Aravindan/gpt2out
datasets:
- generator
model-index:
- name: output_dir
  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. -->

# output_dir

This model is a fine-tuned version of [Aravindan/gpt2out](https://huggingface.co/Aravindan/gpt2out) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9619

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.6318        | 0.0147 | 30   | 2.4202          |
| 2.5147        | 0.0294 | 60   | 2.3425          |
| 2.4599        | 0.0440 | 90   | 2.2838          |
| 2.4009        | 0.0587 | 120  | 2.2386          |
| 2.394         | 0.0734 | 150  | 2.1971          |
| 2.3459        | 0.0881 | 180  | 2.1614          |
| 2.3057        | 0.1027 | 210  | 2.1324          |
| 2.3085        | 0.1174 | 240  | 2.1076          |
| 2.2675        | 0.1321 | 270  | 2.0891          |
| 2.2348        | 0.1468 | 300  | 2.0716          |
| 2.2167        | 0.1614 | 330  | 2.0594          |
| 2.1827        | 0.1761 | 360  | 2.0481          |
| 2.2049        | 0.1908 | 390  | 2.0390          |
| 2.1803        | 0.2055 | 420  | 2.0303          |
| 2.1709        | 0.2201 | 450  | 2.0250          |
| 2.1915        | 0.2348 | 480  | 2.0183          |
| 2.1583        | 0.2495 | 510  | 2.0120          |
| 2.168         | 0.2642 | 540  | 2.0072          |
| 2.1678        | 0.2788 | 570  | 2.0026          |
| 2.1545        | 0.2935 | 600  | 1.9988          |
| 2.1561        | 0.3082 | 630  | 1.9941          |
| 2.1442        | 0.3229 | 660  | 1.9913          |
| 2.1393        | 0.3375 | 690  | 1.9867          |
| 2.1489        | 0.3522 | 720  | 1.9834          |
| 2.1304        | 0.3669 | 750  | 1.9814          |
| 2.1175        | 0.3816 | 780  | 1.9783          |
| 2.113         | 0.3962 | 810  | 1.9753          |
| 2.1025        | 0.4109 | 840  | 1.9729          |
| 2.1181        | 0.4256 | 870  | 1.9711          |
| 2.0947        | 0.4403 | 900  | 1.9688          |
| 2.0868        | 0.4549 | 930  | 1.9665          |
| 2.1061        | 0.4696 | 960  | 1.9638          |
| 2.1096        | 0.4843 | 990  | 1.9619          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1