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--- |
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license: bsd-3-clause |
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datasets: |
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- daily_dialog |
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language: |
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- en |
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tags: |
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- chat |
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- dialog |
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- natural language |
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- codegen |
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widget: |
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- text: "Bot responds in friendly, longer messages.\n<Chat history>\n[User]: 'Hello!'\n[Bot]: 'Hi there! :D How are you?'\n[User]: 'Good, you?'\n[Bot]: '" |
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example_title: "Greeting chat" |
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co2_eq_emissions: |
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emissions: 40 |
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source: https://mlco2.github.io/impact/#compute |
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training_type: fine-tuning |
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geographical_location: Oregon, USA |
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hardware_used: 1x NVIDIA P100, Kaggle |
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library_name: transformers |
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--- |
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# DailyChat-350M |
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A finetuned version of [Codegen-350M-nl](https://huggingface.co/Salesforce/Codegen-350M-nl) on the 'daily_dialog' dataset. |
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The idea of this model is to create one that is capable of holding a decent conversation. |
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# Training Procedure |
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This was trained on Kaggle's servers using 1x NVIDIA P100. |
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This model was trained for 1 epoch with learning rate 1e-2. |
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# Biases & Limitations |
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This likely contains the same biases and limitations as the original model that it is based on, and additionally heavy biases from the dataset. |
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It *can* generate offensive input when prompted, so user discretion is advised. |
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# Intended Use |
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Dialog generation, chat agents. |
