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DeBERTa-ST-AllLayers-v3.1

Sentence Similarity
sentence-transformers
PyTorch
English
deberta-v2
feature-extraction
Generated from Trainer
dataset_size:203905
loss:AdaptiveLayerLoss
loss:CoSENTLoss
loss:GISTEmbedLoss
loss:OnlineContrastiveLoss
loss:MultipleNegativesSymmetricRankingLoss
loss:MultipleNegativesRankingLoss
Eval Results
Inference Endpoints
Model card Files Community
DeBERTa-ST-AllLayers-v3.1
File size: 970 Bytes 
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{
  "bos_token": {
    "content": "[CLS]",
    "lstrip": false,
    "normalized": false,
    "rstrip": false,
    "single_word": false
  },
  "cls_token": {
    "content": "[CLS]",
    "lstrip": false,
    "normalized": false,
    "rstrip": false,
    "single_word": false
  },
  "eos_token": {
    "content": "[SEP]",
    "lstrip": false,
    "normalized": false,
    "rstrip": false,
    "single_word": false
  },
  "mask_token": {
    "content": "[MASK]",
    "lstrip": false,
    "normalized": false,
    "rstrip": false,
    "single_word": false
  },
  "pad_token": {
    "content": "[PAD]",
    "lstrip": false,
    "normalized": false,
    "rstrip": false,
    "single_word": false
  },
  "sep_token": {
    "content": "[SEP]",
    "lstrip": false,
    "normalized": false,
    "rstrip": false,
    "single_word": false
  },
  "unk_token": {
    "content": "[UNK]",
    "lstrip": false,
    "normalized": true,
    "rstrip": false,
    "single_word": false
  }
}