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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2

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: 3.6530

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.93  | 7    | 8.2816          |
| 9.7888        | 2.0   | 15   | 6.6539          |
| 8.253         | 2.93  | 22   | 5.9839          |
| 7.4098        | 4.0   | 30   | 5.5296          |
| 7.4098        | 4.93  | 37   | 5.1792          |
| 6.6836        | 6.0   | 45   | 4.8581          |
| 6.2698        | 6.93  | 52   | 4.6282          |
| 5.8092        | 8.0   | 60   | 4.4243          |
| 5.8092        | 8.93  | 67   | 4.2668          |
| 5.3803        | 10.0  | 75   | 4.1214          |
| 5.3501        | 10.93 | 82   | 4.0024          |
| 5.1278        | 12.0  | 90   | 3.8835          |
| 5.1278        | 12.93 | 97   | 3.8106          |
| 4.9471        | 14.0  | 105  | 3.7422          |
| 4.9279        | 14.93 | 112  | 3.7098          |
| 4.8129        | 16.0  | 120  | 3.6740          |
| 4.8129        | 16.93 | 127  | 3.6601          |
| 4.7258        | 18.0  | 135  | 3.6535          |
| 4.8643        | 18.67 | 140  | 3.6530          |


### Framework versions

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