---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Churchill-GPT
  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. -->

# Churchill-GPT

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: 3.5078

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 16   | 3.4954          |
| No log        | 2.0   | 32   | 3.4977          |
| No log        | 3.0   | 48   | 3.5000          |
| No log        | 4.0   | 64   | 3.5040          |
| No log        | 5.0   | 80   | 3.5063          |
| No log        | 6.0   | 96   | 3.5063          |
| No log        | 7.0   | 112  | 3.5072          |
| No log        | 8.0   | 128  | 3.5078          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2