Sentiment Analysis on SST-2 Binary classification ; 1. T5-11B. 97.5 ; 2. MT-DNN-SMART. 97.5 ; 3. T5-3B. 97.4 ; 4. MUPPET Roberta Large. 97.4. |
Text Classification on SST-2 ; 1. DeBERTa. 94.78 ; 2. BERT. 91.37. |
The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in ... |
Explore the leaderboard for Sst champions trophy ii on CricHeroes. Stay updated on top performers, rankings, and player statistics. |
1. Microsoft Alexander v-team ; 2. JDExplore d-team ; 3. Microsoft Alexander v-team ; 4. DIRL Team. |
Let's share our models to a centralized leaderboard, so that we can collaborate and learn from the model experimentation process... Instructions: Get data in ... |
19 окт. 2021 г. · One can submit a script to the official website, which is then run on the test set. In that way, one can create a leaderboard with the best ... |
Robert-sst2-sentiment-lora. This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the ... |
Train steps: Download Scores Scores F1: Exact Match: Submission succeeded Want to create your own submission? Get Started Now |
This module includes 11 GOOD datasets. Graph prediction datasets: GOOD-HIV, GOOD-PCBA, GOOD-ZINC, GOOD-SST2, GOOD-CMNIST, GOOD-Motif ... |
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