---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
datasets:
- wikipedia
model-index:
- name: english-modeling
  results: []
---

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

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the wikipedia dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3165

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4312        | 1.0   | 5072  | 1.3571          |
| 1.3755        | 2.0   | 10144 | 1.3165          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2