---
language:
- ru
- en
license: apache-2.0
base_model: gpt2
tags:
- not-for-all-audiences
- art
- humour
- jokes
- generated_from_keras_callback
model-index:
- name: zeio/fool
  results: []
datasets:
- zeio/baneks
metrics:
- loss
widget:
- text: 'Купил мужик шляпу'
  example_title: hat
- text: 'Пришла бабка к врачу'
  example_title: doctor
- text: 'Нашел мужик подкову'
  example_title: horseshoe
---

# fool

This model is a fine-tuned version of [gpt2][gpt2] on the [baneks][baneks] dataset for 1 epoch. It achieved `1.9752` loss during training.
Model evaluation has not been performed.

## Model description

The model is a fine-tuned variant of the base [gpt2][gpt2] architecture with causal language modeling head.

## Intended uses & limitations

The model should be used for studying abilities of natural language models to generate jokes.

## Training and evaluation data

The model is trained on a list of anecdotes pulled from a few vk communities (see [baneks][baneks] dataset for more details).

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: 
```json
{
    'name': 'AdamWeightDecay',
    'learning_rate': {
        'module': 'transformers.optimization_tf',
        'class_name': 'WarmUp',
        'config': {
            'initial_learning_rate': 5e-05,
            'decay_schedule_fn': {
                'module': 'keras.optimizers.schedules',
                'class_name': 'PolynomialDecay',
                'config': {
                    'initial_learning_rate': 5e-05,
                    'decay_steps': 28462,
                    'end_learning_rate': 0.0,
                    'power': 1.0,
                    'cycle': False,
                    'name': None
                },
                'registered_name': None
            },
            'warmup_steps': 1000,
            'power': 1.0,
            'name': None
        },
        'registered_name': 'WarmUp'
    },
    'decay': 0.0,
    'beta_1': 0.9,
    'beta_2': 0.999,
    'epsilon': 1e-08,
    'amsgrad': False,
    'weight_decay_rate': 0.01
}
```
- training_precision: `mixed_float16`

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 1.9752     | 0     |

### Framework versions

- Transformers 4.35.0.dev0
- TensorFlow 2.14.0
- Datasets 2.12.0
- Tokenizers 0.14.1

[baneks]: https://huggingface.co/datasets/zeio/baneks
[gpt2]: https://huggingface.co/gpt2