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Update config.json
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{
"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,
"finetuning_task": "persiannews",
"gap_size": 0,
"hidden_act": "gelu_new",
"hidden_dropout_prob": 0,
"hidden_size": 768,
"id2label": {
"0": "\u0627\u062c\u062a\u0645\u0627\u0639\u06cc",
"1": "\u0627\u0642\u062a\u0635\u0627\u062f\u06cc",
"2": "\u0628\u06cc\u0646 \u0627\u0644\u0645\u0644\u0644",
"3": "\u0633\u06cc\u0627\u0633\u06cc",
"4": "\u0639\u0644\u0645\u06cc \u0641\u0646\u0627\u0648\u0631\u06cc",
"5": "\u0641\u0631\u0647\u0646\u06af\u06cc \u0647\u0646\u0631\u06cc",
"6": "\u0648\u0631\u0632\u0634\u06cc",
"7": "\u067e\u0632\u0634\u06a9\u06cc"
},
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 3072,
"label2id": {
"\u0627\u062c\u062a\u0645\u0627\u0639\u06cc": 0,
"\u0627\u0642\u062a\u0635\u0627\u062f\u06cc": 1,
"\u0628\u06cc\u0646 \u0627\u0644\u0645\u0644\u0644": 2,
"\u0633\u06cc\u0627\u0633\u06cc": 3,
"\u0639\u0644\u0645\u06cc \u0641\u0646\u0627\u0648\u0631\u06cc": 4,
"\u0641\u0631\u0647\u0646\u06af\u06cc \u0647\u0646\u0631\u06cc": 5,
"\u0648\u0631\u0632\u0634\u06cc": 6,
"\u067e\u0632\u0634\u06a9\u06cc": 7
},
"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,
"type_vocab_size": 2,
"vocab_size": 80000
}