Update README.md

README.md

@@ -76,8 +76,18 @@ inference:
 
 # bart-base-instructiongen + LongForm
 
+Instead of generating questions from text, generate instructions for LLMs! 
+
+- Check out a [basic demo on Spaces](https://huggingface.co/spaces/pszemraj/generate-instructions)
+- An example of how to use instructiongen models in a CLI script can be found [here](https://gist.github.com/pszemraj/8b0213e700763106074d3ac15d041c14)
+- You can find other models fine-tuned for instruction generation by [searching for the instructiongen tag](https://huggingface.co/models?other=instructiongen).
+
+## about
+
 This model is a fine-tuned version of [pszemraj/bart-base-instructiongen](https://huggingface.co/pszemraj/bart-base-instructiongen) on the `akoksal/LongForm` dataset.
 
+This was trained on a dataset of **only** instructions+outputs, with any `inputs` filtered out. This means that text of *1) cookies and cream 2) chocolate chip 3) mint chip 4) oreo* will **not** get you *"Rank the following ice cream flavors: oreo, mint chip, chocolate chip, cookies and cream"*.
+
 ## Training procedure
 
 ### Training hyperparameters
@@ -94,14 +104,3 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.02
 - num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.29.0.dev0
-- Pytorch 2.0.1+cu117
-- Datasets 2.12.0
-- Tokenizers 0.13.3