chatgpt-gpt4-prompts-bart-large-cnn-samsum
This model generates ChatGPT/BingChat & GPT-3 prompts and is a fine-tuned version of philschmid/bart-large-cnn-samsum on an this dataset. It achieves the following results on the evaluation set:

Train Loss: 1.2214
Validation Loss: 2.7584
Epoch: 4
Streamlit
This model supports a Streamlit Web UI to run the chatgpt-gpt4-prompts-bart-large-cnn-samsum model:Open In HF Spaces

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
https://huggingface.co/Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum

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Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum · Hugging Face

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