---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Joeni/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. -->

# Joeni/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: 3.1768
- Validation Loss: 3.5077
- 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 |
|:----------:|:---------------:|:-----:|
| 4.2091     | 3.8246          | 0     |
| 3.9001     | 3.6943          | 1     |
| 3.7802     | 3.6283          | 2     |
| 3.7044     | 3.5885          | 3     |
| 3.6483     | 3.5617          | 4     |
| 3.5981     | 3.5464          | 5     |
| 3.5571     | 3.5362          | 6     |
| 3.5193     | 3.5247          | 7     |
| 3.4848     | 3.5205          | 8     |
| 3.4528     | 3.5129          | 9     |
| 3.4202     | 3.5090          | 10    |
| 3.3915     | 3.5002          | 11    |
| 3.3608     | 3.5041          | 12    |
| 3.3321     | 3.4999          | 13    |
| 3.3039     | 3.4969          | 14    |
| 3.2783     | 3.4997          | 15    |
| 3.2511     | 3.5030          | 16    |
| 3.2269     | 3.5071          | 17    |
| 3.2013     | 3.5086          | 18    |
| 3.1768     | 3.5077          | 19    |


### Framework versions

- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2