Update README.md

README.md

@@ -2,11 +2,11 @@
 library_name: sentence-transformers
 pipeline_tag: sentence-similarity
 tags:
-  - feature-extraction
-  - sentence-similarity
-  - mteb
-  - transformers
-  - transformers.js
+- feature-extraction
+- sentence-similarity
+- mteb
+- transformers
+- transformers.js
 model-index:
 - name: epoch_0_model
   results:
@@ -882,7 +882,7 @@ model-index:
     - type: precision_at_1
       value: 20.096
     - type: precision_at_10
-      value: 5.0
+      value: 5
     - type: precision_at_100
       value: 0.8750000000000001
     - type: precision_at_1000
@@ -1201,7 +1201,7 @@ model-index:
     - type: map_at_5
       value: 16.448999999999998
     - type: mrr_at_1
-      value: 71.0
+      value: 71
     - type: mrr_at_10
       value: 77.68599999999999
     - type: mrr_at_100
@@ -1225,7 +1225,7 @@ model-index:
     - type: ndcg_at_5
       value: 46.317
     - type: precision_at_1
-      value: 71.0
+      value: 71
     - type: precision_at_10
       value: 34.4
     - type: precision_at_100
@@ -1370,7 +1370,7 @@ model-index:
     - type: ndcg_at_100
       value: 43.832
     - type: ndcg_at_1000
-      value: 47.0
+      value: 47
     - type: ndcg_at_3
       value: 33.694
     - type: ndcg_at_5
@@ -2337,19 +2337,19 @@ model-index:
     - type: map_at_5
       value: 1.185
     - type: mrr_at_1
-      value: 94.0
+      value: 94
     - type: mrr_at_10
-      value: 97.0
+      value: 97
     - type: mrr_at_100
-      value: 97.0
+      value: 97
     - type: mrr_at_1000
-      value: 97.0
+      value: 97
     - type: mrr_at_3
-      value: 97.0
+      value: 97
     - type: mrr_at_5
-      value: 97.0
+      value: 97
     - type: ndcg_at_1
-      value: 89.0
+      value: 89
     - type: ndcg_at_10
       value: 82.30499999999999
     - type: ndcg_at_100
@@ -2361,17 +2361,17 @@ model-index:
     - type: ndcg_at_5
       value: 86.05199999999999
     - type: precision_at_1
-      value: 94.0
+      value: 94
     - type: precision_at_10
-      value: 87.0
+      value: 87
     - type: precision_at_100
       value: 63.38
     - type: precision_at_1000
       value: 23.498
     - type: precision_at_3
-      value: 94.0
+      value: 94
     - type: precision_at_5
-      value: 92.0
+      value: 92
     - type: recall_at_1
       value: 0.242
     - type: recall_at_10
@@ -2602,20 +2602,32 @@ model-index:
       value: 86.65166462876266
     - type: max_f1
       value: 79.07408783532733
+license: apache-2.0
 ---
 
-# nomic-embed-text-v1: A Reproducible Long Context (8192) Text Embedder 
+# nomic-embed-text-v1.5: Resizable Production Embeddings with Matryoshka Representation Learning  
 
-`nomic-embed-text-v1` is 8192 context length text encoder that surpasses OpenAI text-embedding-ada-002 and text-embedding-3-small performance on short and long context tasks.
+`nomic-embed-text-v1.5` is an improvement upon [Nomic Embed](https://huggingface.co/nomic-ai/nomic-embed-text-v1) that utilizes [Matryoshka Representation Learning](https://arxiv.org/abs/2205.13147) which gives developers the flexibility to trade off the embedding size for a negligible reduction in performance.
+
+
+
+| Name                             | SeqLen | Dimension | MTEB      |
+| :-------------------------------:| :----- | :-------- | :------:  |
+| nomic-embed-text-v1              | 8192   |  768      | **62.39** |
+| nomic-embed-text-v1.5            | 8192   |  768      | 62.28     |
+| nomic-embed-text-v1.5            | 8192   |  512      | 61.96     |
+| nomic-embed-text-v1.5            | 8192   |  256      | 61.04     |
+| nomic-embed-text-v1.5            | 8192   |  128      | 59.34     |
+| nomic-embed-text-v1.5            | 8192   |  64       | 56.10     |
+| text-embedding-3-small           | 8192   |  1536     | 62.26     |
+| text-embedding-3-small           | 8192   |  512      | 61.60     |
+
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/607997c83a565c15675055b3/CRnaHV-c2wMUMZKw72q85.png)
 
 
 
-| Name                             | SeqLen | MTEB      | LoCo     | Jina Long Context |  Open Weights | Open Training Code | Open Data   |
-| :-------------------------------:| :----- | :-------- | :------: | :---------------: | :-----------: | :----------------: | :---------- |
-| nomic-embed-text-v1              | 8192   | **62.39** |**85.53** | 54.16             | ✅            | ✅                  | ✅          |
-| jina-embeddings-v2-base-en       | 8192   | 60.39     | 85.45    | 51.90             | ✅            | ❌                  | ❌          |
-| text-embedding-3-small           | 8191   | 62.26     | 82.40    | **58.20**         | ❌            | ❌                  | ❌          |
-| text-embedding-ada-002           | 8191   | 60.99     | 52.7     | 55.25             | ❌            | ❌                  | ❌          |
 
 
 ## Hosted Inference API