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{
|
|
"_name_or_path": "albert-base-v2",
|
|
"architectures": [
|
|
"AlbertForSequenceClassification"
|
|
],
|
|
"attention_probs_dropout_prob": 0,
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|
"bos_token_id": 2,
|
|
"classifier_dropout_prob": 0.1,
|
|
"down_scale_factor": 1,
|
|
"embedding_size": 128,
|
|
"eos_token_id": 3,
|
|
"gap_size": 0,
|
|
"hidden_act": "gelu_new",
|
|
"hidden_dropout_prob": 0,
|
|
"hidden_size": 768,
|
|
"id2label": {
|
|
"0": "hatespeech",
|
|
"1": "non-hatespeech"
|
|
},
|
|
"initializer_range": 0.02,
|
|
"inner_group_num": 1,
|
|
"intermediate_size": 3072,
|
|
"label2id": {
|
|
"hatespeech": 0,
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|
"non-hatespeech": 1
|
|
},
|
|
"layer_norm_eps": 1e-12,
|
|
"max_position_embeddings": 512,
|
|
"model_type": "albert",
|
|
"net_structure_type": 0,
|
|
"num_attention_heads": 12,
|
|
"num_hidden_groups": 1,
|
|
"num_hidden_layers": 12,
|
|
"num_memory_blocks": 0,
|
|
"pad_token_id": 0,
|
|
"position_embedding_type": "absolute",
|
|
"problem_type": "single_label_classification",
|
|
"torch_dtype": "float32",
|
|
"transformers_version": "4.39.3",
|
|
"type_vocab_size": 2,
|
|
"vocab_size": 30000
|
|
}
|
|
|