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bobox
/
DeBERTaV3-small-SenTra-AdaptiveLayers-AllSoft-HighTemp
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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
arxiv:
1908.10084
arxiv:
2402.14776
arxiv:
2402.16829
Model card
Files
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xet
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DeBERTaV3-small-SenTra-AdaptiveLayers-AllSoft-HighTemp
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SFconvertbot
Adding `safetensors` variant of this model
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1_Pooling
train_loss = AdaptiveLayerLoss(model=model,
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.gitattributes
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README.md
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added_tokens.json
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train_loss = AdaptiveLayerLoss(model=model,
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config.json
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train_loss = AdaptiveLayerLoss(model=model,
about 1 year ago
config_sentence_transformers.json
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train_loss = AdaptiveLayerLoss(model=model,
about 1 year ago
model.safetensors
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xet
Adding `safetensors` variant of this model
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modules.json
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train_loss = AdaptiveLayerLoss(model=model,
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pytorch_model.bin
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pickle
Detected Pickle imports (3)
"collections.OrderedDict"
,
"torch.FloatStorage"
,
"torch._utils._rebuild_tensor_v2"
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452 MB
xet
train_loss = AdaptiveLayerLoss(model=model,
about 1 year ago
sentence_bert_config.json
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train_loss = AdaptiveLayerLoss(model=model,
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special_tokens_map.json
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train_loss = AdaptiveLayerLoss(model=model,
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spm.model
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xet
train_loss = AdaptiveLayerLoss(model=model,
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tokenizer.json
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train_loss = AdaptiveLayerLoss(model=model,
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tokenizer_config.json
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train_loss = AdaptiveLayerLoss(model=model,
about 1 year ago