Update README.md

README.md

@@ -41,7 +41,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # checkpoints
 
-This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the `vblagoje/lfqa` dataset, with training duration of 2 epochs. For a (_somewhat_) apples-to-apples comparison with [t5-base](https://huggingface.co/pszemraj/t5-base-askscience) on the standard eli5 dataset.
+- This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the `vblagoje/lfqa` dataset, with training duration of 2 epochs, for a (_somewhat_) apples-to-apples comparison with [t5-base](https://huggingface.co/pszemraj/t5-base-askscience) on the standard eli5 dataset.
+  - This checkpoint does seem to be more coherent than t5-base on the original dataset.
+- Compared to [bart on lfqa](https://huggingface.co/vblagoje/bart_lfqa), it seems to be able to respond to some questions independently of retrieval.
 
 ## Model description
 
@@ -49,7 +51,8 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+- Q&A, information retrieval
+- it is probably better to use it with a [retrieval pipeline](https://github.com/deepset-ai/haystack) than alone
 
 ## Training and evaluation data