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Upload config.json

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  1. config.json +12 -12
config.json CHANGED
@@ -1,6 +1,13 @@
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  {
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- "architectures": ["BertForSequenceClassification"],
 
 
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  "attention_probs_dropout_prob": 0.1,
 
 
 
 
 
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  "classifier_dropout": null,
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  "finetuning_task": "text-classification",
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  "gradient_checkpointing": false,
@@ -22,26 +29,19 @@
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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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- "num_labels": 2,
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  "pad_token_id": 0,
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  "pipeline_tag": "text-classification",
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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- "return_dict": true,
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  "task_specific_params": {
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  "text-classification": {
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- "problem_type": "single_label_classification",
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- "num_labels": 2
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  }
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  },
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  "torch_dtype": "float32",
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- "transformers_version": "4.53.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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- "vocab_size": 32000,
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- "auto_map": {
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- "AutoConfig": "transformers.BertConfig",
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- "AutoModelForSequenceClassification": "transformers.BertForSequenceClassification",
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- "AutoTokenizer": "transformers.BertTokenizer"
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- }
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  }
 
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  {
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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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+ "auto_map": {
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+ "AutoConfig": "transformers.BertConfig",
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+ "AutoModelForSequenceClassification": "transformers.BertForSequenceClassification",
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+ "AutoTokenizer": "transformers.BertTokenizer"
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+ },
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  "classifier_dropout": null,
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  "finetuning_task": "text-classification",
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  "gradient_checkpointing": false,
 
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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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  "pad_token_id": 0,
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  "pipeline_tag": "text-classification",
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
 
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  "task_specific_params": {
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  "text-classification": {
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+ "num_labels": 2,
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+ "problem_type": "single_label_classification"
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.53.3",
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  "type_vocab_size": 2,
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  "use_cache": true,
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+ "vocab_size": 32000
 
 
 
 
 
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  }