albert-sentiment / config.json
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{
"_name_or_path": "ckiplab/albert-tiny-chinese",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.0,
"bos_token_id": 101,
"classifier_dropout": null,
"classifier_dropout_prob": 0.1,
"down_scale_factor": 1,
"embedding_size": 128,
"eos_token_id": 102,
"gap_size": 0,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 312,
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 1248,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"net_structure_type": 0,
"num_attention_heads": 12,
"num_hidden_groups": 1,
"num_hidden_layers": 4,
"num_memory_blocks": 0,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tokenizer_class": "BertTokenizerFast",
"torch_dtype": "float32",
"transformers_version": "4.19.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 21128
}