Chatgpt Prompts Bart Long

🚀 ChatGPT Prompt Generator

This model is a fine - tuned version of BART - large on a ChatGPT prompts dataset, which can generate ChatGPT personas.

🚀 Quick Start

This model is a fine - tuned version of BART - large on a ChatGPT prompts dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.8329
• Validation Loss: 2.5015
• Epoch: 4

✨ Features

You can use this to generate ChatGPT personas. Simply input a persona like below:

💻 Usage Examples

Basic Usage

from transformers import BartForConditionalGeneration, BartTokenizer

example_english_phrase = "photographer"
batch = tokenizer(example_english_phrase, return_tensors="pt")
generated_ids = model.generate(batch["input_ids"], max_new_tokens=150)
output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)

🔧 Technical Details

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

Framework versions

• Transformers 4.26.0
• TensorFlow 2.9.2
• Datasets 2.8.0
• Tokenizers 0.13.2

📄 License

This project is licensed under the Apache - 2.0 license.