Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:647236
loss:MultipleNegativesSymmetricRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use LamaDiab/Finetunningv2MiniLM-V22Data-128ConstantBATCH-SemanticEngine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LamaDiab/Finetunningv2MiniLM-V22Data-128ConstantBATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/Finetunningv2MiniLM-V22Data-128ConstantBATCH-SemanticEngine") sentences = [ "essence multi task concealer 15 natural nude", "pure oxygen 20 vol", "essence", "face make-up" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files- eval/triplet_evaluation_results.csv +5 -0
- model.safetensors +1 -1
eval/triplet_evaluation_results.csv
CHANGED
|
@@ -9,3 +9,8 @@ epoch,steps,accuracy_cosine
|
|
| 9 |
1.5817355208539237,8000,0.9697129130363464
|
| 10 |
1.7794030440798578,9000,0.9693974256515503
|
| 11 |
1.9770705673057916,10000,0.9701335430145264
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
1.5817355208539237,8000,0.9697129130363464
|
| 10 |
1.7794030440798578,9000,0.9693974256515503
|
| 11 |
1.9770705673057916,10000,0.9701335430145264
|
| 12 |
+
2.1747380905317257,11000,0.9696077108383179
|
| 13 |
+
2.3724056137576595,12000,0.9681354761123657
|
| 14 |
+
2.5700731369835936,13000,0.9686612486839294
|
| 15 |
+
2.767740660209528,14000,0.9686612486839294
|
| 16 |
+
2.9654081834354615,15000,0.9696077108383179
|
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 sha256:3cd1e61b5768d19d49c9b204e248cb3a20bb2bcb19e2c1da6ab768bac7080250
|
| 3 |
size 90864192
|