Update README.md

README.md

@@ -1,10 +1,39 @@
 ---
 license: apache-2.0
+language:
+- en
 tags:
-- generated_from_trainer
-model-index:
-- name: checkpoints
-  results: []
+- t5
+- qa
+- askscience
+- lfqa
+- information retrieval
+datasets:
+- vblagoje/lfqa
+metrics:
+- rouge
+widget:
+- text: "why aren't there more planets in our solar system?"
+  example_title: "solar system"
+- text: "question: what is a probability distribution? context: I am just learning about statistics."
+  example_title: "probability distribution"
+- text: "question: how does exercise help us lose weight? context: I started working out two weeks ago and already feel a lot better, and started to think about it and became deeply confused."
+  example_title: "pumpen"
+- text: "what is a neural network?"
+  example_title: "deep learning"
+- text: "How can computers understand human language?"
+  example_title: "NLP"
+  
+inference:
+  parameters:
+    max_length: 64
+    no_repeat_ngram_size: 2
+    encoder_no_repeat_ngram_size: 4
+    repetition_penalty: 3.51
+    length_penalty: 0.8
+    num_beams: 4
+    early_stopping: True
+    
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +41,7 @@ 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 an unknown 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.
 
 ## Model description