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README.md
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@@ -983,7 +983,7 @@ model-index:
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revision: None
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metrics:
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- type: map_at_1
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value: 52
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- type: map_at_10
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value: 62.956
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- type: map_at_100
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@@ -995,7 +995,7 @@ model-index:
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- type: map_at_5
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value: 62.217999999999996
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- type: mrr_at_1
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value: 52
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- type: mrr_at_10
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value: 62.956
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- type: mrr_at_100
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@@ -1007,7 +1007,7 @@ model-index:
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- type: mrr_at_5
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value: 62.217999999999996
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- type: ndcg_at_1
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value: 52
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- type: ndcg_at_10
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value: 67.956
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 66.155
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- type: precision_at_1
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value: 52
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- type: precision_at_10
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value: 8.35
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- type: precision_at_100
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- type: precision_at_5
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value: 15.58
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- type: recall_at_1
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value: 52
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- type: recall_at_10
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value: 83.5
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- type: recall_at_100
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@@ -1057,6 +1057,17 @@ model-index:
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value: 70.81766065881429
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- type: f1
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value: 85.5323306120456
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---
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-
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revision: None
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metrics:
|
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- type: map_at_1
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986 |
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value: 52
|
987 |
- type: map_at_10
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value: 62.956
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989 |
- type: map_at_100
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- type: map_at_5
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value: 62.217999999999996
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- type: mrr_at_1
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value: 52
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- type: mrr_at_10
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value: 62.956
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- type: mrr_at_100
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- type: mrr_at_5
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value: 62.217999999999996
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- type: ndcg_at_1
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value: 52
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- type: ndcg_at_10
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value: 67.956
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 66.155
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- type: precision_at_1
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value: 52
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- type: precision_at_10
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value: 8.35
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- type: precision_at_100
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- type: precision_at_5
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value: 15.58
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- type: recall_at_1
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value: 52
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- type: recall_at_10
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value: 83.5
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- type: recall_at_100
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value: 70.81766065881429
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- type: f1
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value: 85.5323306120456
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license: apache-2.0
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language:
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- zh
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---
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A try for emebdding model:
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The method is the same as the stella-v2, I just fine-tuned it in a small dataset for test.
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Now I'm working on the tao-v2, It will have a different sturcture.
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I will release tao-v2 as fast as I can.
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Thank you to the open source community.
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