kimi0230 commited on
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README.md CHANGED
@@ -8,7 +8,43 @@ model-index:
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  datasets:
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  - fka/awesome-chatgpt-prompts
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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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  datasets:
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  - fka/awesome-chatgpt-prompts
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  ---
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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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+
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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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+
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+ ### Streamlit
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+
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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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+ [![Open In HF Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/Kaludi/ChatGPT-BingChat-GPT3-Prompt-Generator_App)
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
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