pos_tagger_3112 / config.json
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Training in progress, epoch 1
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{
"_name_or_path": "dbmdz/bert-base-turkish-cased",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "INTJ",
"1": "PART",
"2": "VERB",
"3": "ADP",
"4": "ADJ",
"5": "X",
"6": "PUNCT",
"7": "NOUN",
"8": "NUM",
"9": "ADV",
"10": "CCONJ",
"11": "SCONJ",
"12": "DET",
"13": "AUX",
"14": "PRON",
"15": "PROPN"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"ADJ": 4,
"ADP": 3,
"ADV": 9,
"AUX": 13,
"CCONJ": 10,
"DET": 12,
"INTJ": 0,
"NOUN": 7,
"NUM": 8,
"PART": 1,
"PRON": 14,
"PROPN": 15,
"PUNCT": 6,
"SCONJ": 11,
"VERB": 2,
"X": 5
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.35.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32000
}