---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-general-stories
  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. -->

# distilgpt2-finetuned-general-stories

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0063

## 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: 2e-05
- 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: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.7415        | 1.0   | 2940  | 5.4942          |
| 5.1216        | 2.0   | 5880  | 4.9520          |
| 4.7464        | 3.0   | 8820  | 4.6264          |
| 4.5081        | 4.0   | 11760 | 4.4148          |
| 4.3457        | 5.0   | 14700 | 4.2677          |
| 4.2207        | 6.0   | 17640 | 4.1709          |
| 4.1182        | 7.0   | 20580 | 4.0961          |
| 4.0599        | 8.0   | 23520 | 4.0473          |
| 4.0235        | 9.0   | 26460 | 4.0176          |
| 3.9931        | 10.0  | 29400 | 4.0063          |


### Framework versions

- Transformers 4.40.0
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1