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fine tuned, probability as logits
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{
"_name_or_path": "bert-base-uncased",
"architectures": [
"MyBertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"gradient_checkpointing": false,
"hidden_act": "gelu",
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"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
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"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"pretrained_model_name_or_path": "bert-base-uncased",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.9.2",
"type_vocab_size": 2,
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}