Update README.md

README.md

@@ -29,7 +29,7 @@ widget:
 pipeline_tag: text2text-generation
 ---
 ## t5-small-negative-prompt-generator
-This model has been trained 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).
+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
@@ -38,7 +38,7 @@ It achieves the following results on the evaluation set:
 * Rougel: 62.0977
 * Rougelsum: 62.1006
 
-The idea behind this is to automatically generate negative prompts that improve the end result according to the positive prompt input. This is still in its experimental stage, but it's already quite good. I believe it could be useful as a recommendation for new users who use stable-diffusion or similar.
+The idea behind this is to automatically generate negative prompts that improve the end result according to the positive prompt input. I believe it could be useful as a recommendation for new users who use stable-diffusion or similar.
 
 The license is **cc-by-nc-4.0**. For commercial use rights, please [contact me](https://discord.com/users/859202914400075798).