---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Wikibot-3001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Wikibot-3001

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0395

## 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: 16
- eval_batch_size: 32
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.7432        | 1.0   | 5950  | 2.6109          |
| 2.3556        | 2.0   | 11900 | 2.3059          |
| 2.1872        | 3.0   | 17850 | 2.1738          |
| 2.0891        | 4.0   | 23800 | 2.0990          |
| 2.0306        | 5.0   | 29750 | 2.0579          |
| 1.9975        | 6.0   | 35700 | 2.0395          |


### Framework versions

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