update model improvements
Browse files- README.md +31 -31
- model.safetensors +1 -1
README.md
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- sentence-similarity
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- feature-extraction
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- generated_from_trainer
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- dataset_size:
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- loss:TripletLoss
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base_model: sentence-transformers/all-mpnet-base-v2
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widget:
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sentences:
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sentences:
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sentences:
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- overthrows wide-open seams and turf short hooks
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- drops hips and absorbs bull rushes without giving ground
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- clocked a 4.34 forty and posted a 40″ vertical despite 240-lb frame
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- testing numbers show average burst and straight-line speed
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- source_sentence: frequent stints on sideline
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sentences:
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- click-and-close burst plus natural hands yield PBUs
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pipeline_tag: sentence-similarity
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library_name: sentence-transformers
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---
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model = SentenceTransformer("sentence_transformers_model_id")
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# Run inference
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sentences = [
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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#### Unnamed Dataset
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* Size:
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* Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>sentence_2</code>
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* Approximate statistics based on the first
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| | sentence_0 | sentence_1 | sentence_2 |
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|:--------|:--------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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| type | string | string | string |
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| details | <ul><li>min:
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* Samples:
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| sentence_0
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| <code>
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* Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
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```json
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{
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- sentence-similarity
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- feature-extraction
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- generated_from_trainer
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- dataset_size:41
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- loss:TripletLoss
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base_model: sentence-transformers/all-mpnet-base-v2
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widget:
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- source_sentence: elite ball production DB
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sentences:
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- rarely gets his head around and allows catches in phase
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- times his breaks and plucks interceptions away from receivers
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- sprays throws and forces receivers to adjust behind them
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- source_sentence: vision and patience RB
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sentences:
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- hamstring tweaks kept him out of key practices each year
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- gets impatient and bounces, resulting in no gain
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- presses hole, forces defender to commit, then explodes through the gap
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- source_sentence: turn and run fluidity
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sentences:
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- overthrows wide-open seams and turf short hooks
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- effortlessly flips, locates, and finishes with secure hands
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- tight lower half leads to contact catches
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- source_sentence: excellent run instincts
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sentences:
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- click-and-close burst plus natural hands yield PBUs
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- string of efficient decisions keeps offense on schedule
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- hesitates and wastes steps, leading to tackles for loss
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- source_sentence: corner with fluid hips
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sentences:
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- opens and flips seamlessly to carry verticals while tracking ball
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- praised for leadership and A+ character
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- stiff in transition and loses body control at catch point
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pipeline_tag: sentence-similarity
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library_name: sentence-transformers
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---
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model = SentenceTransformer("sentence_transformers_model_id")
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# Run inference
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sentences = [
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'corner with fluid hips',
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'opens and flips seamlessly to carry verticals while tracking ball',
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'stiff in transition and loses body control at catch point',
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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#### Unnamed Dataset
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* Size: 41 training samples
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* Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>sentence_2</code>
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* Approximate statistics based on the first 41 samples:
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| | sentence_0 | sentence_1 | sentence_2 |
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|:--------|:--------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
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| type | string | string | string |
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| details | <ul><li>min: 4 tokens</li><li>mean: 6.46 tokens</li><li>max: 9 tokens</li></ul> | <ul><li>min: 9 tokens</li><li>mean: 12.78 tokens</li><li>max: 20 tokens</li></ul> | <ul><li>min: 7 tokens</li><li>mean: 11.17 tokens</li><li>max: 15 tokens</li></ul> |
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* Samples:
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| sentence_0 | sentence_1 | sentence_2 |
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|:---------------------------------------------|:-----------------------------------------------------------------------------------------|:-----------------------------------------------------------------|
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| <code>throws with effortless velocity</code> | <code>ball jumps off his hand and arrives to tight windows before defenders react</code> | <code>passes hang in the air and allow DBs to close</code> |
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| <code>persistent soft-tissue injuries</code> | <code>hamstring tweaks kept him out of key practices each year</code> | <code>has never appeared on the injury report</code> |
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| <code>injury prone track record</code> | <code>three different surgeries in college raise red flags</code> | <code>medical checks came back clean with no missed games</code> |
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* Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
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```json
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{
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model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 437967672
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version https://git-lfs.github.com/spec/v1
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oid sha256:6da5b7c6a7721c7f135e6ee952d0f55b8c403458b120fefa3891716edbaf01c5
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size 437967672
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