A try for emebdding model:
The method is the same as the stella-v2, I just fine-tuned it in a small dataset for test.
Now I'm working on the tao-v2, It will have a different sturcture.
I will release tao-v2 as fast as I can.
Thank you to the open source community.
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Spaces using Amu/tao 12
Evaluation results
- cos_sim_pearson on MTEB AFQMCvalidation set self-reported47.338
- cos_sim_spearman on MTEB AFQMCvalidation set self-reported49.941
- euclidean_pearson on MTEB AFQMCvalidation set self-reported48.121
- euclidean_spearman on MTEB AFQMCvalidation set self-reported49.941
- manhattan_pearson on MTEB AFQMCvalidation set self-reported48.076
- manhattan_spearman on MTEB AFQMCvalidation set self-reported49.895
- cos_sim_pearson on MTEB ATECtest set self-reported50.977
- cos_sim_spearman on MTEB ATECtest set self-reported53.113
- euclidean_pearson on MTEB ATECtest set self-reported55.121
- euclidean_spearman on MTEB ATECtest set self-reported53.113
- manhattan_pearson on MTEB ATECtest set self-reported55.098
- manhattan_spearman on MTEB ATECtest set self-reported53.108
- accuracy on MTEB AmazonReviewsClassification (zh)test set self-reported40.812
- f1 on MTEB AmazonReviewsClassification (zh)test set self-reported39.021
- cos_sim_pearson on MTEB BQtest set self-reported62.843
- cos_sim_spearman on MTEB BQtest set self-reported65.541
- euclidean_pearson on MTEB BQtest set self-reported64.088
- euclidean_spearman on MTEB BQtest set self-reported65.541
- manhattan_pearson on MTEB BQtest set self-reported64.093
- manhattan_spearman on MTEB BQtest set self-reported65.554