Add new SentenceTransformer model.

README.md

@@ -65,7 +65,7 @@ model-index:
       type: intfloat/multilingual-e5-small
     metrics:
     - type: cosine_accuracy@1
-      value: 0.4778110536346311
+      value: 0.4780833106452491
       name: Cosine Accuracy@1
     - type: cosine_accuracy@3
       value: 0.6634903348761231
@@ -77,7 +77,7 @@ model-index:
       value: 0.8222161720664307
       name: Cosine Accuracy@10
     - type: cosine_precision@1
-      value: 0.4778110536346311
+      value: 0.4780833106452491
       name: Cosine Precision@1
     - type: cosine_precision@3
       value: 0.22116344495870766
@@ -89,7 +89,7 @@ model-index:
       value: 0.08222161720664307
       name: Cosine Precision@10
     - type: cosine_recall@1
-      value: 0.4778110536346311
+      value: 0.4780833106452491
       name: Cosine Recall@1
     - type: cosine_recall@3
       value: 0.6634903348761231
@@ -101,13 +101,13 @@ model-index:
       value: 0.8222161720664307
       name: Cosine Recall@10
     - type: cosine_ndcg@10
-      value: 0.6444880621773137
+      value: 0.6445885632598687
       name: Cosine Ndcg@10
     - type: cosine_mrr@10
-      value: 0.5882212109818965
+      value: 0.588363389642997
       name: Cosine Mrr@10
     - type: cosine_map@100
-      value: 0.5940274223886709
+      value: 0.5941715376474508
       name: Cosine Map@100
 ---
 
@@ -207,23 +207,23 @@ You can finetune this model on your own dataset.
 * Dataset: `intfloat/multilingual-e5-small`
 * Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
 
-| Metric              | Value     |
-|:--------------------|:----------|
-| cosine_accuracy@1   | 0.4778    |
-| cosine_accuracy@3   | 0.6635    |
-| cosine_accuracy@5   | 0.7359    |
-| cosine_accuracy@10  | 0.8222    |
-| cosine_precision@1  | 0.4778    |
-| cosine_precision@3  | 0.2212    |
-| cosine_precision@5  | 0.1472    |
-| cosine_precision@10 | 0.0822    |
-| cosine_recall@1     | 0.4778    |
-| cosine_recall@3     | 0.6635    |
-| cosine_recall@5     | 0.7359    |
-| cosine_recall@10    | 0.8222    |
-| cosine_ndcg@10      | 0.6445    |
-| cosine_mrr@10       | 0.5882    |
-| **cosine_map@100**  | **0.594** |
+| Metric              | Value      |
+|:--------------------|:-----------|
+| cosine_accuracy@1   | 0.4781     |
+| cosine_accuracy@3   | 0.6635     |
+| cosine_accuracy@5   | 0.7359     |
+| cosine_accuracy@10  | 0.8222     |
+| cosine_precision@1  | 0.4781     |
+| cosine_precision@3  | 0.2212     |
+| cosine_precision@5  | 0.1472     |
+| cosine_precision@10 | 0.0822     |
+| cosine_recall@1     | 0.4781     |
+| cosine_recall@3     | 0.6635     |
+| cosine_recall@5     | 0.7359     |
+| cosine_recall@10    | 0.8222     |
+| cosine_ndcg@10      | 0.6446     |
+| cosine_mrr@10       | 0.5884     |
+| **cosine_map@100**  | **0.5942** |
 
 <!--
 ## Bias, Risks and Limitations
@@ -398,10 +398,10 @@ You can finetune this model on your own dataset.
 | Epoch  | Step | Training Loss | intfloat/multilingual-e5-small_cosine_map@100 |
 |:------:|:----:|:-------------:|:---------------------------------------------:|
 | 0      | 0    | -             | 0.4852                                        |
-| 0.2174 | 100  | 0.6285        | 0.5759                                        |
-| 0.4348 | 200  | 0.1429        | 0.5827                                        |
-| 0.6522 | 300  | 0.1281        | 0.5901                                        |
-| 0.8696 | 400  | 0.1197        | 0.5940                                        |
+| 0.2174 | 100  | 0.6285        | 0.5760                                        |
+| 0.4348 | 200  | 0.1429        | 0.5824                                        |
+| 0.6522 | 300  | 0.1281        | 0.5902                                        |
+| 0.8696 | 400  | 0.1197        | 0.5942                                        |
 
 
 ### Framework Versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f78b7dd90133f2d3c7488daed22b009fd32814bd7ba1a8cc19abb950128ac8e
+oid sha256:f507927e4be347fc80a3fd6ca76cc31200f7062046f3d16c0261dbceee69df86
 size 470637416

sentencepiece.bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
+size 5069051