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{
"_name_or_path": "/workspace/dehnes/mnli/models/text_pair_classification_gbert_large/language_model.bin",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"finetuning_task": "text_classification",
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "neutral",
"1": "entailment",
"2": "contradiction"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"contradiction": 2,
"entailment": 1,
"neutral": 0
},
"language": "english",
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"name": "Bert",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"transformers_version": "4.6.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 31102
}