---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-finetuned-wikitext2

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: 3.2676

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 28   | 3.7190          |
| No log        | 2.0   | 56   | 3.5623          |
| No log        | 3.0   | 84   | 3.4554          |
| No log        | 4.0   | 112  | 3.3877          |
| No log        | 5.0   | 140  | 3.3390          |
| No log        | 6.0   | 168  | 3.3063          |
| No log        | 7.0   | 196  | 3.2878          |
| No log        | 8.0   | 224  | 3.2761          |
| No log        | 9.0   | 252  | 3.2698          |
| No log        | 10.0  | 280  | 3.2676          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3