Sentence Similarity
ONNX
Safetensors
English
ogma
embeddings
dense-retrieval
matryoshka
rag
agents
mteb
semantic-search
text-embeddings
text-embedding
vector-search
document-retrieval
similarity-search
classification
clustering
edge-ai
on-device
local-inference
efficient-ai
rag-retrieval
custom_code
Eval Results (legacy)
Use text embedding discovery tags
Browse files
README.md
CHANGED
|
@@ -10,9 +10,9 @@ tags:
|
|
| 10 |
- agents
|
| 11 |
- mteb
|
| 12 |
- sentence-similarity
|
| 13 |
-
- feature-extraction
|
| 14 |
- semantic-search
|
| 15 |
- text-embeddings
|
|
|
|
| 16 |
- vector-search
|
| 17 |
- document-retrieval
|
| 18 |
- similarity-search
|
|
@@ -47,7 +47,7 @@ model-index:
|
|
| 47 |
split: test
|
| 48 |
metrics:
|
| 49 |
- type: accuracy
|
| 50 |
-
value: 61.
|
| 51 |
- task:
|
| 52 |
type: clustering
|
| 53 |
dataset:
|
|
@@ -93,6 +93,7 @@ model-index:
|
|
| 93 |
metrics:
|
| 94 |
- type: cos_sim_spearman
|
| 95 |
value: 31.33
|
|
|
|
| 96 |
---
|
| 97 |
|
| 98 |
# ogma-mini 路 3.5M efficient text embedding model 路 MTEB 53.07
|
|
|
|
| 10 |
- agents
|
| 11 |
- mteb
|
| 12 |
- sentence-similarity
|
|
|
|
| 13 |
- semantic-search
|
| 14 |
- text-embeddings
|
| 15 |
+
- text-embedding
|
| 16 |
- vector-search
|
| 17 |
- document-retrieval
|
| 18 |
- similarity-search
|
|
|
|
| 47 |
split: test
|
| 48 |
metrics:
|
| 49 |
- type: accuracy
|
| 50 |
+
value: 61.8
|
| 51 |
- task:
|
| 52 |
type: clustering
|
| 53 |
dataset:
|
|
|
|
| 93 |
metrics:
|
| 94 |
- type: cos_sim_spearman
|
| 95 |
value: 31.33
|
| 96 |
+
pipeline_tag: sentence-similarity
|
| 97 |
---
|
| 98 |
|
| 99 |
# ogma-mini 路 3.5M efficient text embedding model 路 MTEB 53.07
|