rembert-train-dev / config.json
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{
"_name_or_path": "google/rembert",
"architectures": [
"RemBertForSequenceClassification"
],
"attention_probs_dropout_prob": 0,
"bos_token_id": 312,
"classifier_dropout_prob": 0.1,
"embedding_dropout_prob": 0,
"embedding_size": 256,
"eos_token_id": 313,
"hidden_act": "gelu",
"hidden_dropout_prob": 0,
"hidden_size": 1152,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2",
"3": "LABEL_3",
"4": "LABEL_4"
},
"initializer_range": 0.02,
"input_embedding_size": 256,
"intermediate_size": 4608,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2,
"LABEL_3": 3,
"LABEL_4": 4
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "rembert",
"num_attention_heads": 18,
"num_hidden_layers": 32,
"output_embedding_size": 1664,
"pad_token_id": 0,
"problem_type": "single_label_classification",
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.45.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 250300
}