AdamCodd
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t5-small-negative-prompt-generator

Text2Text Generation

text-generation-inference

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AdamCodd commited on May 29

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 pipeline_tag: text2text-generation
 ---
 ## t5-small-negative-prompt-generator
-The model here is [t5-small](https://huggingface.co/google-t5/t5-small) and has been finetuned on a subset of the [AdamCodd/Civitai-8m-prompts](https://huggingface.co/datasets/AdamCodd/Civitai-8m-prompts) dataset (~800K prompts) focused on the top 10% prompts according to Civitai's positive engagement ("stats" field in the dataset). It includes negative embeddings (and thus will output them).
 It achieves the following results on the evaluation set:
 * Loss: 0.1730

 pipeline_tag: text2text-generation
 ---
 ## t5-small-negative-prompt-generator
+The model here is [t5-small](https://huggingface.co/google-t5/t5-small) and has been finetuned on a subset of the [AdamCodd/Civitai-8m-prompts](https://huggingface.co/datasets/AdamCodd/Civitai-8m-prompts) dataset (~800K prompts) focused on the top 10% prompts according to Civitai's positive engagement ("stats" field in the dataset). The dataset includes negative embeddings (and thus will output them).
 It achieves the following results on the evaluation set:
 * Loss: 0.1730