Update README.md

README.md

@@ -37,7 +37,7 @@ inference:
 
 >_this is the "latest" version of the model that has been trained the longest, currently at 70k steps_
 
-- motivation: typical datasets for summarization models are in the vein of PubMed / arXiv; for my use cases, I have found summaries created by models pretrained on these to be useful.
+- motivation: typical datasets for summarization models are in the vein of PubMed / arXiv; for my use cases, I have found summaries created by models pretrained on these to be mostly useless.
   - summarizing text via arXiv models will typically make the summary sound so needlessly complicated that you might as well have read the original text in that time.
   - this model is one attempt to help with that by using the [booksum](https://arxiv.org/abs/2105.08209) dataset to provide **explanatory summarization**
 - this model has been trained for seven epochs total (approx 70,000 steps) and is closer to finished.
@@ -93,7 +93,7 @@ print(result[0]['summary_text'])
 
 ## Alternate Checkpoint
 
-- if experiencing runtime / memory issues, try [this earlier checkpoint](https://huggingface.co/pszemraj/bigbird-pegasus-large-booksum-40k-K) at 40,000 steps which is almost as good at the explanatory summarization task, but runs faster.
+- if experiencing runtime/memory issues, try [this earlier checkpoint](https://huggingface.co/pszemraj/bigbird-pegasus-large-booksum-40k-K) at 40,000 steps which is almost as good at the explanatory summarization task but runs faster.
 
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