---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: guma/distilgpt2-finetuned-shakespeare
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# guma/distilgpt2-finetuned-shakespeare

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.1769
- Validation Loss: 3.5116
- Epoch: 19

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.2136     | 3.8303          | 0     |
| 3.8997     | 3.6993          | 1     |
| 3.7790     | 3.6344          | 2     |
| 3.7061     | 3.5923          | 3     |
| 3.6476     | 3.5653          | 4     |
| 3.6003     | 3.5513          | 5     |
| 3.5578     | 3.5360          | 6     |
| 3.5204     | 3.5277          | 7     |
| 3.4843     | 3.5171          | 8     |
| 3.4514     | 3.5117          | 9     |
| 3.4194     | 3.5048          | 10    |
| 3.3903     | 3.5040          | 11    |
| 3.3627     | 3.5006          | 12    |
| 3.3332     | 3.5006          | 13    |
| 3.3052     | 3.5019          | 14    |
| 3.2772     | 3.5051          | 15    |
| 3.2514     | 3.5043          | 16    |
| 3.2249     | 3.5026          | 17    |
| 3.2019     | 3.5129          | 18    |
| 3.1769     | 3.5116          | 19    |


### Framework versions

- Transformers 4.22.2
- TensorFlow 2.8.2
- Datasets 2.5.2
- Tokenizers 0.12.1