Update README.md

README.md

@@ -2,6 +2,7 @@
 tags:
 - generated_from_trainer
 - summarization
+- book summary
 dataset:
 - kmfoda/booksum
 metrics:
@@ -11,11 +12,10 @@ model-index:
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
 
 # tglobal-large-booksum-WIP
 
+> this is a WIP checkpoint that has been fine-tuned from the vanilla (original) for 10ish epochs. It is **not ready to be used for inference**
 This model is a fine-tuned version of [google/long-t5-tglobal-large](https://huggingface.co/google/long-t5-tglobal-large) on the `kmfoda/booksum` dataset.
 It achieves the following results on the evaluation set:
 - Loss: 4.9519
@@ -27,16 +27,15 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Testing fine-tuning only on booksum with 16384/1024 the whole time (vs. previous large WIP checkpoint I made that started from a partially-trained `pubmed` checkpoint)
 
 ## Intended uses & limitations
 
-More information needed
+this is a WIP checkpoint that has been fine-tuned from the vanilla (original) for 10ish epochs. It is **not ready to be used for inference**
 
 ## Training and evaluation data
 
-More information needed
-
+This is **only** fine-tuned on booksum (vs. previous large WIP checkpoint I made that started from a partially-trained `pubmed` checkpoint)
 ## Training procedure
 
 ### Training hyperparameters