---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: sft_extra
  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. -->

# sft_extra

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: 3.3974

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.66          | 0.32  | 200  | 3.5982          |
| 3.319         | 0.64  | 400  | 3.4866          |
| 3.1101        | 0.96  | 600  | 3.3663          |
| 2.1529        | 1.28  | 800  | 3.4439          |
| 1.9697        | 1.6   | 1000 | 3.4081          |
| 1.9158        | 1.92  | 1200 | 3.3974          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1