Update README.md

README.md

@@ -38,7 +38,7 @@ inference:
   - summarizing text via arXiv models will typically make the summary sound so needlessly complicated you might as well have read the original text in that time anyway.
   - this model is one attempt to help with that 
 - this model has been trained for 7 epochs total and is closer to finished.
-    - Will continue to improve based on any result findings/feedback.
+    - Will continue to improve  (slowly, now that it has been trained on the dataset for 70k steps) based on any result findings/feedback.
 - the starting checkpoint was `google/bigbird-pegasus-large-bigpatent`
 
 # example usage
@@ -52,12 +52,12 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 from transformers import pipeline
 
 _model = AutoModelForSeq2SeqLM.from_pretrained(
-                "pszemraj/bigbird-pegasus-large-booksum-40k-K",
+                "pszemraj/bigbird-pegasus-large-K-booksum",
                 low_cpu_mem_usage=True,
             )
 
 _tokenizer = AutoTokenizer.from_pretrained(
-                "pszemraj/bigbird-pegasus-large-booksum-40k-K"
+                "pszemraj/bigbird-pegasus-large-K-booksum",
             )