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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: chatgpt-gpt4-prompts-bart-large-cnn-samsum |
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results: [] |
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datasets: |
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- fka/awesome-chatgpt-prompts |
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language: |
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- it |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# chatgpt-gpt4-prompts-bart-large-cnn-samsum |
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This model generates ChatGPT/BingChat & GPT-3 prompts and is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on an [this](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts) dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.2214 |
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- Validation Loss: 2.7584 |
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- Epoch: 4 |
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### Streamlit |
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This model supports a [Streamlit](https://streamlit.io/) Web UI to run the chatgpt-gpt4-prompts-bart-large-cnn-samsum model: |
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[](https://huggingface.co/spaces/Kaludi/ChatGPT-BingChat-GPT3-Prompt-Generator_App) |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 3.1982 | 2.6801 | 0 | |
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| 2.3601 | 2.5493 | 1 | |
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| 1.9225 | 2.5377 | 2 | |
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| 1.5465 | 2.6794 | 3 | |
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| 1.2214 | 2.7584 | 4 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- TensorFlow 2.11.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
