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bobox
/
DeBERTaV3-TR-AllSoft-HT

Sentence Similarity
sentence-transformers
PyTorch
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:156483
loss:AdaptiveLayerLoss
loss:CoSENTLoss
loss:GISTEmbedLoss
loss:OnlineContrastiveLoss
loss:MultipleNegativesSymmetricRankingLoss
Eval Results
Model card Files Files and versions Community
1
DeBERTaV3-TR-AllSoft-HT
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  • 1 contributor
History: 2 commits
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train_loss = AdaptiveLayerLoss(model=model,
5ebf7e7 verified 11 months ago
  • 1_Pooling
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    161 kB
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • added_tokens.json
    23 Bytes
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • config.json
    860 Bytes
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • config_sentence_transformers.json
    195 Bytes
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • modules.json
    229 Bytes
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • pytorch_model.bin

    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, 11 months ago
  • sentence_bert_config.json
    53 Bytes
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • special_tokens_map.json
    286 Bytes
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • spm.model
    2.46 MB
    LFS
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • tokenizer.json
    8.66 MB
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago
  • tokenizer_config.json
    1.28 kB
    train_loss = AdaptiveLayerLoss(model=model, 11 months ago