KoichiYasuoka's picture
model improved
85c9513
{
"architectures": [
"DebertaV2ForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "B-ADJ|_",
"1": "B-ADP|_",
"2": "B-ADV|_",
"3": "B-AUX|Polarity=Neg",
"4": "B-AUX|_",
"5": "B-CCONJ|_",
"6": "B-DET|_",
"7": "B-INTJ|_",
"8": "B-NOUN|Polarity=Neg",
"9": "B-NOUN|_",
"10": "B-NUM|_",
"11": "B-PART|_",
"12": "B-PRON|_",
"13": "B-PROPN|_",
"14": "B-PUNCT|_",
"15": "B-SCONJ|_",
"16": "B-SYM|_",
"17": "B-VERB|_",
"18": "B-X|_",
"19": "I-ADJ|_",
"20": "I-ADP|_",
"21": "I-ADV|_",
"22": "I-AUX|Polarity=Neg",
"23": "I-AUX|_",
"24": "I-CCONJ|_",
"25": "I-DET|_",
"26": "I-INTJ|_",
"27": "I-NOUN|Polarity=Neg",
"28": "I-NOUN|_",
"29": "I-NUM|_",
"30": "I-PART|_",
"31": "I-PRON|_",
"32": "I-PROPN|_",
"33": "I-PUNCT|_",
"34": "I-SCONJ|_",
"35": "I-SYM|_",
"36": "I-VERB|_",
"37": "I-X|_"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"B-ADJ|_": 0,
"B-ADP|_": 1,
"B-ADV|_": 2,
"B-AUX|Polarity=Neg": 3,
"B-AUX|_": 4,
"B-CCONJ|_": 5,
"B-DET|_": 6,
"B-INTJ|_": 7,
"B-NOUN|Polarity=Neg": 8,
"B-NOUN|_": 9,
"B-NUM|_": 10,
"B-PART|_": 11,
"B-PRON|_": 12,
"B-PROPN|_": 13,
"B-PUNCT|_": 14,
"B-SCONJ|_": 15,
"B-SYM|_": 16,
"B-VERB|_": 17,
"B-X|_": 18,
"I-ADJ|_": 19,
"I-ADP|_": 20,
"I-ADV|_": 21,
"I-AUX|Polarity=Neg": 22,
"I-AUX|_": 23,
"I-CCONJ|_": 24,
"I-DET|_": 25,
"I-INTJ|_": 26,
"I-NOUN|Polarity=Neg": 27,
"I-NOUN|_": 28,
"I-NUM|_": 29,
"I-PART|_": 30,
"I-PRON|_": 31,
"I-PROPN|_": 32,
"I-PUNCT|_": 33,
"I-SCONJ|_": 34,
"I-SYM|_": 35,
"I-VERB|_": 36,
"I-X|_": 37
},
"layer_norm_eps": 1e-07,
"max_position_embeddings": 512,
"max_relative_positions": -1,
"model_type": "deberta-v2",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"pooler_dropout": 0,
"pooler_hidden_act": "gelu",
"pooler_hidden_size": 1024,
"pos_att_type": [
"p2c",
"c2p"
],
"position_biased_input": false,
"relative_attention": true,
"tokenizer_class": "DebertaV2TokenizerFast",
"torch_dtype": "float32",
"transformers_version": "4.22.1",
"type_vocab_size": 0,
"vocab_size": 32000
}