Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:705905
loss:MultipleNegativesSymmetricRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use LamaDiab/FinetunningMiniLM-V18Data-256ConstantBATCH-SemanticEngine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LamaDiab/FinetunningMiniLM-V18Data-256ConstantBATCH-SemanticEngine with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LamaDiab/FinetunningMiniLM-V18Data-256ConstantBATCH-SemanticEngine") sentences = [ "gerber baby food fruits apples bananas & cereal", "world of sweets puzzle", "baby food", "baby food" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1, checkpoint
Browse files
checkpoint-2758/trainer_state.json
CHANGED
|
@@ -27,9 +27,9 @@
|
|
| 27 |
"epoch": 0.36258158085569253,
|
| 28 |
"eval_cosine_accuracy": 0.9711852073669434,
|
| 29 |
"eval_loss": 0.3902958035469055,
|
| 30 |
-
"eval_runtime": 34.
|
| 31 |
-
"eval_samples_per_second":
|
| 32 |
-
"eval_steps_per_second": 1.
|
| 33 |
"step": 1000
|
| 34 |
},
|
| 35 |
{
|
|
@@ -43,9 +43,9 @@
|
|
| 43 |
"epoch": 0.7251631617113851,
|
| 44 |
"eval_cosine_accuracy": 0.9699232578277588,
|
| 45 |
"eval_loss": 0.37875595688819885,
|
| 46 |
-
"eval_runtime":
|
| 47 |
-
"eval_samples_per_second":
|
| 48 |
-
"eval_steps_per_second": 1.
|
| 49 |
"step": 2000
|
| 50 |
}
|
| 51 |
],
|
|
|
|
| 27 |
"epoch": 0.36258158085569253,
|
| 28 |
"eval_cosine_accuracy": 0.9711852073669434,
|
| 29 |
"eval_loss": 0.3902958035469055,
|
| 30 |
+
"eval_runtime": 34.6603,
|
| 31 |
+
"eval_samples_per_second": 274.348,
|
| 32 |
+
"eval_steps_per_second": 1.096,
|
| 33 |
"step": 1000
|
| 34 |
},
|
| 35 |
{
|
|
|
|
| 43 |
"epoch": 0.7251631617113851,
|
| 44 |
"eval_cosine_accuracy": 0.9699232578277588,
|
| 45 |
"eval_loss": 0.37875595688819885,
|
| 46 |
+
"eval_runtime": 33.7082,
|
| 47 |
+
"eval_samples_per_second": 282.098,
|
| 48 |
+
"eval_steps_per_second": 1.127,
|
| 49 |
"step": 2000
|
| 50 |
}
|
| 51 |
],
|
checkpoint-2758/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5752
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98354e6a6ec8411cdce0c11c2d3311243c8acedb0b90e2b2c87806e8519cdf4b
|
| 3 |
size 5752
|