Text Generation
Transformers
TensorFlow
Russian
English
gpt2
Not-For-All-Audiences
art
humour
jokes
generated_from_keras_callback
| 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 | |
| <p align="center"> | |
| <img src="https://i.ibb.co/S531946/fool-logo.png"/> | |
| </p> | |
| # 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 | |