Total runs:
643
Run Growth:
-23
Growth Rate:
-5.16%
Sponsored by
iMean AI Trip Planner
LiYuan / Amazon-Cross-Encoder-Classification
Model's Last Updated: May 09 2022
text-classification
Introduction of Amazon-Cross-Encoder-Classification
Model Details of Amazon-Cross-Encoder-Classification
There are two types of Cross-Encoder models. One is the Cross-Encoder Regression model that we fine-tuned and mentioned in the previous section. Next, we have the Cross-Encoder Classification model. These two models are introduced in the same paper https://doi.org/10.48550/arxiv.1908.10084
Both models resolve the issue that the BERT model is too time-consuming and resource-consuming to train in pairwised sentences. These two model weights are initialized as the BERT and RoBERTa networks. We only need to fine-tune them, spending much less time to yield a comparable or even better sentence embedding. The below figure \ref{figure:5} shows the architecture of Cross-Encoder Classification.
Then we evaluated the model performance on the 2,000 held-out test set. We also got a test accuracy 46.05% that is almost identical to the best validation accuracy, suggesting a good generalization model.
Runs of LiYuan Amazon-Cross-Encoder-Classification on huggingface.co
22
Total runs
-1
24-hour runs
-4
3-day runs
-4
7-day runs
13
30-day runs
More Information About Amazon-Cross-Encoder-Classification huggingface.co Model
Url of Amazon-Cross-Encoder-Classification
Amazon-Cross-Encoder-Classification huggingface.co Url
Provider of Amazon-Cross-Encoder-Classification huggingface.co
Other API from LiYuan
Updated:May 01 2022
Total runs:
49
Run Growth:
15
Growth Rate:
30.61%
Total runs:
35
Run Growth:
26
Growth Rate:
78.79%