Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:605748
loss:MultipleNegativesSymmetricRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use LamaDiab/MiniLM-V17Data-128BATCH-SemanticEngine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LamaDiab/MiniLM-V17Data-128BATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/MiniLM-V17Data-128BATCH-SemanticEngine") sentences = [ "sand eel shad soft lure combo eelo 150 25 g ayu/blue", "marvel na! na! na! surprise 2-pack air arms multicolor", "fast fishing fishing lure", "fishing" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files- eval/triplet_evaluation_results.csv +5 -0
- model.safetensors +1 -1
eval/triplet_evaluation_results.csv
CHANGED
|
@@ -8,3 +8,8 @@ epoch,steps,accuracy_cosine
|
|
| 8 |
1.478977392774139,7000,0.9433168768882751
|
| 9 |
1.690259877456159,8000,0.9373225569725037
|
| 10 |
1.9015423621381786,9000,0.9387948513031006
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
1.478977392774139,7000,0.9433168768882751
|
| 9 |
1.690259877456159,8000,0.9373225569725037
|
| 10 |
1.9015423621381786,9000,0.9387948513031006
|
| 11 |
+
2.1128248468201987,10000,0.944158136844635
|
| 12 |
+
2.3241073315022183,11000,0.9468924403190613
|
| 13 |
+
2.5353898161842383,12000,0.9464717507362366
|
| 14 |
+
2.7466723008662584,13000,0.9420548677444458
|
| 15 |
+
2.957954785548278,14000,0.9391103386878967
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 90864192
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:abf9fd38bc4f7ad4138a4ed14181ab9e9dbc5147032c10c1e1ceb782c4979eb8
|
| 3 |
size 90864192
|