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Den4ikAI
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rubert_base_response_ranker

Text Classification
Transformers
PyTorch
Russian
bert
Inference Endpoints
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39139da
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1 Parent(s): 416cd53

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Files changed (6) hide show
  1. config.json +13 -8
  2. pytorch_model.bin +2 -2
  3. tokenizer.json +0 -0
  4. tokenizer_config.json +3 -3
  5. training_args.bin +1 -1
  6. vocab.txt +0 -0
config.json CHANGED
@@ -1,28 +1,33 @@
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  {
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  "architectures": [
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  "BertForSequenceClassification"
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  "attention_probs_dropout_prob": 0.1,
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- "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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- "hidden_size": 312,
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  "initializer_range": 0.02,
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- "intermediate_size": 600,
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  "layer_norm_eps": 1e-12,
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- "max_position_embeddings": 2048,
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  "model_type": "bert",
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  "num_attention_heads": 12,
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- "num_hidden_layers": 3,
 
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  "pad_token_id": 0,
 
 
 
 
 
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.25.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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- "vocab_size": 83828
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  }
 
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  {
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+ "_name_or_path": "model",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "classifier_dropout": null,
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+ "directionality": "bidi",
 
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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  "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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  "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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  "model_type": "bert",
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  "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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  "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.25.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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+ "vocab_size": 119547
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  }
pytorch_model.bin CHANGED
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tokenizer.json CHANGED
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tokenizer_config.json CHANGED
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  "do_basic_tokenize": true,
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  "do_lower_case": false,
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- "model_max_length": 2048,
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- "special_tokens_map_file": null,
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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  "tokenizer_class": "BertTokenizer",
 
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  "do_basic_tokenize": true,
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  "do_lower_case": false,
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  "mask_token": "[MASK]",
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  "tokenize_chinese_chars": true,
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  "tokenizer_class": "BertTokenizer",
training_args.bin CHANGED
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vocab.txt CHANGED
The diff for this file is too large to render. See raw diff