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bobox
/
DeBERTaV3-small-SenTra-AdaptiveLayers-AllSoft-HighTemp
like
1
Sentence Similarity
sentence-transformers
PyTorch
15 datasets
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:78183
loss:AdaptiveLayerLoss
loss:CoSENTLoss
loss:GISTEmbedLoss
loss:OnlineContrastiveLoss
loss:MultipleNegativesSymmetricRankingLoss
Eval Results
Inference Endpoints
arxiv:
1908.10084
arxiv:
2402.14776
arxiv:
2402.16829
Model card
Files
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DeBERTaV3-small-SenTra-AdaptiveLayers-AllSoft-HighTemp
1 contributor
History:
4 commits
bobox
Update README.md
78cc426
verified
6 months ago
1_Pooling
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
.gitattributes
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1.52 kB
initial commit
6 months ago
README.md
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142 kB
Update README.md
6 months ago
added_tokens.json
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23 Bytes
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
config.json
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860 Bytes
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
config_sentence_transformers.json
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195 Bytes
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
modules.json
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229 Bytes
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
pytorch_model.bin
Safe
pickle
Detected Pickle imports (3)
"collections.OrderedDict"
,
"torch.FloatStorage"
,
"torch._utils._rebuild_tensor_v2"
What is a pickle import?
452 MB
LFS
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
sentence_bert_config.json
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53 Bytes
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
special_tokens_map.json
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286 Bytes
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
spm.model
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2.46 MB
LFS
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
tokenizer.json
Safe
8.66 MB
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
tokenizer_config.json
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1.28 kB
train_loss = AdaptiveLayerLoss(model=model,
6 months ago
