Mbart Jokes

🚀 mbart_jokes

This model is a fine - tuned version of facebook/bart-base, trained on a jokes dataset. It can answer questions with funny responses.

🚀 Quick Start

This model is a fine - tuned version of facebook/bart-base on the None dataset. It achieves a loss of 3.0282 on the evaluation set.

✨ Features

This model is trained on a jokes dataset. You can ask a question, and the model will give a funny answer.

📦 Installation

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💻 Usage Examples

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📚 Documentation

Model description

This model is trained on a jokes dataset, enabling it to respond to questions with humorous answers.

Intended uses & limitations

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Training and evaluation data

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Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e - 05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.12.5
• Pytorch 1.9.1
• Datasets 1.16.1
• Tokenizers 0.10.3

📄 License

This project is licensed under the Apache - 2.0 license.