bert-finetuned-ner / config.json
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Training in progress, epoch 1
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{
"_name_or_path": "bert-base-cased",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "0",
"1": "B_product_name",
"2": "I_product_name",
"3": "colour",
"4": "size",
"5": "B_brand_name",
"6": "I_brand_name",
"7": "B_mrp",
"8": "I_mrp",
"9": "B_selling_price",
"10": "I_selling_price",
"11": "material",
"12": "origin_country"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"0": 0,
"B_brand_name": 5,
"B_mrp": 7,
"B_product_name": 1,
"B_selling_price": 9,
"I_brand_name": 6,
"I_mrp": 8,
"I_product_name": 2,
"I_selling_price": 10,
"colour": 3,
"material": 11,
"origin_country": 12,
"size": 4
},
"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": "4.25.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}