Update README.md

README.md

@@ -10,12 +10,16 @@ license: mit
 metrics:
   - sacrebleu
   - BERT_score
+  - ROUGE
+  - METEOR
+  - SARI
+  - Automated Readability Index
 inference:
   parameters:
     top_p: 0.9
     do_sample: True
     max_length: 512
-    repetition_penalty: 1.2
+    <!-- repetition_penalty: 1.2 -->
 widget:
   - text: "summarize, simplify, and contextualize: The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making."
   - text: "summarize, simplify, and contextualize: One of the most thrilling cultural experiences is to hear live symphony-orchestra music build up from a whispering passage to a monumental fortissimo. The impact of such a crescendo has been thought to depend only on the musicians’ skill, but here we show that interactions between the concert-hall acoustics and listeners’ hearing also play a major role in musical dynamics. These interactions contribute to the shoebox-type concert hall’s established success, but little prior research has been devoted to dynamic expression in this three-part transmission chain as a complete system. More forceful orchestral playing disproportionately excites high frequency harmonics more than those near the note’s fundamental. This effect results in not only more sound energy, but also a different tone color. The concert hall transmits this sound, and the room geometry defines from which directions acoustic reflections arrive at the listener. Binaural directional hearing emphasizes high frequencies more when sound arrives from the sides of the head rather than from the median plane. Simultaneously, these same frequencies are emphasized by higher orchestral-playing dynamics. When the room geometry provides reflections from these directions, the perceived dynamic range is enhanced. Current room-acoustic evaluation methods assume linear behavior and thus neglect this effect. The hypothesis presented here is that the auditory excitation by reflections is emphasized with an orchestra forte most in concert halls with strong lateral reflections. The enhanced dynamic range provides an explanation for the success of rectangularly shaped concert-hall geometry."
@@ -85,7 +89,7 @@ print(tokenizer.decode(decoded_ids[0], skip_special_tokens=True))
 
 ## Data
 
-For SAS-baseline, we only finetune Flan-T5 model with the Scientific Abstract-Significance (SAS) corpus. 
+For SAS-baseline, we finetuned Flan-T5 model with the Scientific Abstract-Significance (SAS) corpus. 
 
 | Scientific Abstract-Significance | # Training/Dev/Test Samples | # Training Tokens | # Validation Tokens | # Test Tokens | Automated Readability Index (std.) |
 |----------------------------------|-----------------------------|-------------------|---------------------|---------------|------------------------------------|