quangcodecode's picture
End of training
a1ce33e
{
"_name_or_path": "vinai/phobert-base-v2",
"architectures": [
"RobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-NAME",
"2": "I-NAME",
"3": "B-DATE",
"4": "I-DATE",
"5": "B-UNI",
"6": "I-UNI",
"7": "B-MAJ",
"8": "I-MAJ",
"9": "B-MAIL",
"10": "I-MAIL",
"11": "B-UNI_ABRREV",
"12": "I-PHONE"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-DATE": 3,
"B-MAIL": 9,
"B-MAJ": 7,
"B-NAME": 1,
"B-UNI": 5,
"B-UNI_ABBREV": 11,
"I-DATE": 4,
"I-MAIL": 10,
"I-MAJ": 8,
"I-NAME": 2,
"I-PHONE": 12,
"I-UNI": 6,
"O": 0
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 258,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"tokenizer_class": "PhobertTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.36.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 64001
}