---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt_finetuned_on_imdb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt_finetuned_on_imdb

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7202

## 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.9191        | 1.0   | 1740  | 3.8071          |
| 3.8521        | 2.0   | 3480  | 3.7726          |
| 3.8118        | 3.0   | 5220  | 3.7570          |
| 3.7841        | 4.0   | 6960  | 3.7433          |
| 3.7563        | 5.0   | 8700  | 3.7383          |
| 3.7394        | 6.0   | 10440 | 3.7281          |
| 3.7246        | 7.0   | 12180 | 3.7250          |
| 3.7109        | 8.0   | 13920 | 3.7217          |
| 3.7026        | 9.0   | 15660 | 3.7195          |
| 3.6986        | 10.0  | 17400 | 3.7202          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3