Add new SentenceTransformer model.

README.md

@@ -65,49 +65,49 @@ model-index:
       type: intfloat/multilingual-e5-small
     metrics:
     - type: cosine_accuracy@1
-      value: 0.488156820038116
+      value: 0.4778110536346311
       name: Cosine Accuracy@1
     - type: cosine_accuracy@3
-      value: 0.6664851619929213
+      value: 0.6634903348761231
       name: Cosine Accuracy@3
     - type: cosine_accuracy@5
-      value: 0.7465287231146202
+      value: 0.7359106997005173
       name: Cosine Accuracy@5
     - type: cosine_accuracy@10
-      value: 0.8205826300027226
+      value: 0.8222161720664307
       name: Cosine Accuracy@10
     - type: cosine_precision@1
-      value: 0.488156820038116
+      value: 0.4778110536346311
       name: Cosine Precision@1
     - type: cosine_precision@3
-      value: 0.22216172066430712
+      value: 0.22116344495870766
       name: Cosine Precision@3
     - type: cosine_precision@5
-      value: 0.149305744622924
+      value: 0.14718213994010343
       name: Cosine Precision@5
     - type: cosine_precision@10
-      value: 0.08205826300027225
+      value: 0.08222161720664307
       name: Cosine Precision@10
     - type: cosine_recall@1
-      value: 0.488156820038116
+      value: 0.4778110536346311
       name: Cosine Recall@1
     - type: cosine_recall@3
-      value: 0.6664851619929213
+      value: 0.6634903348761231
       name: Cosine Recall@3
     - type: cosine_recall@5
-      value: 0.7465287231146202
+      value: 0.7359106997005173
       name: Cosine Recall@5
     - type: cosine_recall@10
-      value: 0.8205826300027226
+      value: 0.8222161720664307
       name: Cosine Recall@10
     - type: cosine_ndcg@10
-      value: 0.6494972918003398
+      value: 0.6444880621773137
       name: Cosine Ndcg@10
     - type: cosine_mrr@10
-      value: 0.5951477750552078
+      value: 0.5882212109818965
       name: Cosine Mrr@10
     - type: cosine_map@100
-      value: 0.6015029417718801
+      value: 0.5940274223886709
       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   | 0.4882     |
-| cosine_accuracy@3   | 0.6665     |
-| cosine_accuracy@5   | 0.7465     |
-| cosine_accuracy@10  | 0.8206     |
-| cosine_precision@1  | 0.4882     |
-| cosine_precision@3  | 0.2222     |
-| cosine_precision@5  | 0.1493     |
-| cosine_precision@10 | 0.0821     |
-| cosine_recall@1     | 0.4882     |
-| cosine_recall@3     | 0.6665     |
-| cosine_recall@5     | 0.7465     |
-| cosine_recall@10    | 0.8206     |
-| cosine_ndcg@10      | 0.6495     |
-| cosine_mrr@10       | 0.5951     |
-| **cosine_map@100**  | **0.6015** |
+| 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** |
 
 <!--
 ## Bias, Risks and Limitations
@@ -398,14 +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        | 0.5761                                        |
-| 0.4348 | 200  | 0.1429        | 0.5824                                        |
-| 0.6522 | 300  | 0.1281        | 0.5903                                        |
-| 0.8696 | 400  | 0.1197        | 0.5943                                        |
-| 0.2174 | 100  | 0.0523        | 0.5826                                        |
-| 0.4348 | 200  | 0.0407        | 0.5886                                        |
-| 0.6522 | 300  | 0.0555        | 0.5978                                        |
-| 0.8696 | 400  | 0.0779        | 0.6015                                        |
+| 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                                        |
 
 
 ### Framework Versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8c9fc025259374e57fa6eec2c9f5ec8f8aacd235436cc87de40d0064badc124b
+oid sha256:3f78b7dd90133f2d3c7488daed22b009fd32814bd7ba1a8cc19abb950128ac8e
 size 470637416