Update README.md

README.md

@@ -29,8 +29,8 @@ Additionally, we provide the following options:
 
 - `jina-embedding-b-en-v1`: 110 million parameters.
 - `jina-embedding-l-en-v1`: 800 million parameters.
-- `jina-embedding-xl-en-v1`: 3 billion parameters.
-- `jina-embedding-xxl-en-v1`: 11 billion parameters.
+- `jina-embedding-xl-en-v1`: 3 billion parameters (soon).
+- `jina-embedding-xxl-en-v1`: 11 billion parameters (soon).
 
 ## Data & Parameters
 
@@ -40,7 +40,15 @@ More info will be released together with the technique report.
 
 We compared the model against `all-minilm-l6-v2` from sbert and `text-embeddings-ada-002` from OpenAI:
 
-|FIELD1|STS12|STS13|STS14|STS15|STS16|STS17|TRECOVID|Quora|SciFact|param    |context|
+|Name|param    |context|
+|------------------------------|-----|-----|-----|-----|-----|-----|--------|-----|-------|---------|------|
+|all-minilm-l6-v2|33m      |256|
+|all-mpnet--base-v2 |110m     |256|
+|ada-embedding-002|Unknown/API based  |8192|
+|jina-embedding-small|35m      |512|
+
+
+|Name|STS12|STS13|STS14|STS15|STS16|STS17|TRECOVID|Quora|SciFact|param    |context|
 |------------------------------|-----|-----|-----|-----|-----|-----|--------|-----|-------|---------|------|
 |all-minilm-l6-v2|0.724|0.806|0.756|0.854|0.79 |0.876|0.473   |0.876|0.645  |33m      |256|
 |all-mpnet--base-v2|0.726|0.835|0.78 |0.857|0.8  |0.906|0.513   |0.875|0.656  |110m     |256|