metadata
license: mit
language:
- zh
pipeline_tag: sentence-similarity
PromCSE(sup)
Data List
The following datasets are all in Chinese.
Data | size(train) | size(valid) | size(test) |
---|---|---|---|
ATEC | 62477 | 20000 | 20000 |
BQ | 100000 | 10000 | 10000 |
LCQMC | 238766 | 8802 | 12500 |
PAWSX | 49401 | 2000 | 2000 |
STS-B | 5231 | 1458 | 1361 |
SNLI | 146828 | 2699 | 2618 |
MNLI | 122547 | 2932 | 2397 |
Model List
The evaluation dataset is in Chinese, and we used the same language model RoBERTa Large on different methods. In addition, considering that the test set of some datasets is small, which may lead to a large deviation in evaluation accuracy, the evaluation data here uses train, valid and test at the same time, and the final evaluation result adopts the weighted average (w-avg) method.
Model | STS-B(w-avg) | ATEC | BQ | LCQMC | PAWSX | Avg. |
---|---|---|---|---|---|---|
BAAI/bge-large-zh | 78.61 | - | - | - | - | - |
BAAI/bge-large-zh-v1.5 | 79.07 | - | - | - | - | - |
hellonlp/simcse-large-zh | 81.32 | - | - | - | - | - |
hellonlp/promcse-large-zh | xx | - | - | - | - | - |