Set `library_name` as Sentence Transformers
Browse filesHello!
This PR sets the library name as Sentence Transformers, giving more useful "Use this model" button in Hugging Face.
- Tom Aarsen
README.md
CHANGED
@@ -316,7 +316,7 @@ model-index:
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- type: recall_at_100
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value: 99.579
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- type: recall_at_1000
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-
value: 100
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- type: recall_at_3
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value: 92.703
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- type: recall_at_5
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@@ -452,7 +452,7 @@ model-index:
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- type: recall_at_10
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value: 86.9
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- type: recall_at_100
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-
value: 97
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- type: recall_at_1000
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value: 98.9
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- type: recall_at_3
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@@ -646,7 +646,7 @@ model-index:
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- type: mrr_at_1000
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value: 65.548
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- type: mrr_at_3
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-
value: 63
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- type: mrr_at_5
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value: 64.235
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- type: ndcg_at_1
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@@ -680,11 +680,11 @@ model-index:
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- type: recall_at_100
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value: 92.60000000000001
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- type: recall_at_1000
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-
value: 99
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- type: recall_at_3
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value: 68.7
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- type: recall_at_5
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-
value: 74
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- task:
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type: Classification
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dataset:
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@@ -991,7 +991,7 @@ model-index:
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- type: map_at_5
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value: 74.973
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- type: mrr_at_1
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-
value: 65
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- type: mrr_at_10
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value: 75.676
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- type: mrr_at_100
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@@ -1037,7 +1037,7 @@ model-index:
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- type: recall_at_3
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value: 84.6
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- type: recall_at_5
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-
value: 89
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- task:
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type: Classification
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dataset:
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@@ -1053,6 +1053,7 @@ model-index:
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value: 75.20638024616892
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- type: f1
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value: 87.88648489072128
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---
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# xiaobu-embedding-v2
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@@ -1081,4 +1082,4 @@ print(similarity)
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## Reference
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1. https://github.com/hjq133/piccolo-embedding
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2. https://huggingface.co/lier007/xiaobu-embedding
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-
3. https://arxiv.org/abs/2002.10857
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- type: recall_at_100
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value: 99.579
|
318 |
- type: recall_at_1000
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319 |
+
value: 100
|
320 |
- type: recall_at_3
|
321 |
value: 92.703
|
322 |
- type: recall_at_5
|
|
|
452 |
- type: recall_at_10
|
453 |
value: 86.9
|
454 |
- type: recall_at_100
|
455 |
+
value: 97
|
456 |
- type: recall_at_1000
|
457 |
value: 98.9
|
458 |
- type: recall_at_3
|
|
|
646 |
- type: mrr_at_1000
|
647 |
value: 65.548
|
648 |
- type: mrr_at_3
|
649 |
+
value: 63
|
650 |
- type: mrr_at_5
|
651 |
value: 64.235
|
652 |
- type: ndcg_at_1
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|
|
680 |
- type: recall_at_100
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681 |
value: 92.60000000000001
|
682 |
- type: recall_at_1000
|
683 |
+
value: 99
|
684 |
- type: recall_at_3
|
685 |
value: 68.7
|
686 |
- type: recall_at_5
|
687 |
+
value: 74
|
688 |
- task:
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689 |
type: Classification
|
690 |
dataset:
|
|
|
991 |
- type: map_at_5
|
992 |
value: 74.973
|
993 |
- type: mrr_at_1
|
994 |
+
value: 65
|
995 |
- type: mrr_at_10
|
996 |
value: 75.676
|
997 |
- type: mrr_at_100
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|
|
1037 |
- type: recall_at_3
|
1038 |
value: 84.6
|
1039 |
- type: recall_at_5
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1040 |
+
value: 89
|
1041 |
- task:
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type: Classification
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dataset:
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value: 75.20638024616892
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- type: f1
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value: 87.88648489072128
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+
library_name: sentence-transformers
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---
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# xiaobu-embedding-v2
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## Reference
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1. https://github.com/hjq133/piccolo-embedding
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2. https://huggingface.co/lier007/xiaobu-embedding
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+
3. https://arxiv.org/abs/2002.10857
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