Albert-bbc-news / config.json
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{
"_name_or_path": "AutoTrain",
"_num_labels": 5,
"architectures": [
"AlbertForSequenceClassification"
],
"attention_probs_dropout_prob": 0,
"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": 4096,
"id2label": {
"0": "tech",
"1": "business",
"2": "sport",
"3": "entertainment",
"4": "politics"
},
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 16384,
"id2label": {
"0": "tech",
"1": "business",
"2": "sport",
"3": "entertainment",
"4": "politics"
},
"layer_norm_eps": 1e-12,
"layers_to_keep": [],
"max_length": 512,
"max_position_embeddings": 512,
"model_type": "albert",
"net_structure_type": 0,
"num_attention_heads": 64,
"num_hidden_groups": 1,
"num_hidden_layers": 12,
"num_memory_blocks": 0,
"pad_token_id": 0,
"padding": "max_length",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"type_vocab_size": 2,
"vocab_size": 30000
}