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{
"architectures": [
"LtgBertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"auto_map": {
"AutoConfig": "configuration_ltgbert.LtgBertConfig",
"AutoModel": "modeling_ltgbert.LtgBertModel",
"AutoModelForMaskedLM": "modeling_ltgbert.LtgBertForMaskedLM",
"AutoModelForMultipleChoice": "modeling_ltgbert.LtgBertForMultipleChoice",
"AutoModelForQuestionAnswering": "modeling_ltgbert.LtgBertForQuestionAnswering",
"AutoModelForSequenceClassification": "modeling_ltgbert.LtgBertForSequenceClassification",
"AutoModelForTokenClassification": "modeling_ltgbert.LtgBertForTokenClassification"
},
"classifier_dropout": null,
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "NEGATIVE",
"1": "POSITIVE"
},
"intermediate_size": 2048,
"label2id": {
"NEGATIVE": 0,
"POSITIVE": 1
},
"layer_norm_eps": 1e-07,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_all_encoded_layers": true,
"pad_token_id": 4,
"position_bucket_size": 32,
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.26.1",
"vocab_size": 16384
}
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