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bobox
/
DeBERTaV3-TR-AllSoft-HT
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Sentence Similarity
sentence-transformers
PyTorch
15 datasets
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:156483
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
Files and versions
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DeBERTaV3-TR-AllSoft-HT
1 contributor
History:
2 commits
bobox
train_loss = AdaptiveLayerLoss(model=model,
5ebf7e7
verified
5 months ago
1_Pooling
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
.gitattributes
Safe
1.52 kB
initial commit
5 months ago
README.md
Safe
161 kB
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
added_tokens.json
Safe
23 Bytes
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
config.json
Safe
860 Bytes
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
config_sentence_transformers.json
Safe
195 Bytes
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
modules.json
Safe
229 Bytes
train_loss = AdaptiveLayerLoss(model=model,
5 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?
565 MB
LFS
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
sentence_bert_config.json
Safe
53 Bytes
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
special_tokens_map.json
Safe
286 Bytes
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
spm.model
Safe
2.46 MB
LFS
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
tokenizer.json
Safe
8.66 MB
train_loss = AdaptiveLayerLoss(model=model,
5 months ago
tokenizer_config.json
Safe
1.28 kB
train_loss = AdaptiveLayerLoss(model=model,
5 months ago