---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-scificorpus
  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-scificorpus

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the scifi-corpus dataset from kaggle: https://www.kaggle.com/datasets/jannesklaas/scifi-stories-text-corpus.
It achieves the following results on the evaluation set:
- Loss: 5.0848

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.019         | 1.0   | 1520  | 5.8959          |
| 5.7047        | 2.0   | 3040  | 5.6273          |
| 5.5153        | 3.0   | 4560  | 5.4587          |
| 5.3785        | 4.0   | 6080  | 5.3378          |
| 5.2763        | 5.0   | 7600  | 5.2498          |
| 5.1943        | 6.0   | 9120  | 5.1881          |
| 5.139         | 7.0   | 10640 | 5.1430          |
| 5.0951        | 8.0   | 12160 | 5.1096          |
| 5.0665        | 9.0   | 13680 | 5.0923          |
| 5.0423        | 10.0  | 15200 | 5.0848          |


### Framework versions

- Transformers 4.40.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1