KoichiYasuoka
commited on
Commit
•
bb8ecfe
1
Parent(s):
0b2a060
model improved
Browse files- config.json +153 -142
- maker.py +4 -4
- pytorch_model.bin +2 -2
config.json
CHANGED
@@ -20,8 +20,8 @@
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"3": "ADJ|_|amod",
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"4": "ADJ|_|ccomp",
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"5": "ADJ|_|csubj",
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"6": "ADJ|_|
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"7": "ADJ|_|
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"8": "ADJ|_|nmod",
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"9": "ADJ|_|nsubj",
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"10": "ADJ|_|obj",
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@@ -35,73 +35,77 @@
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"18": "ADV|_|obj",
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"19": "ADV|_|root",
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"20": "AUX|Polarity=Neg|aux",
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"21": "AUX|
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"22": "AUX|_|
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"23": "AUX|_|
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"24": "AUX|_|
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"25": "
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"26": "
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"27": "
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"28": "INTJ|_|
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"29": "
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"30": "NOUN|Polarity=Neg|
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"31": "NOUN|
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"32": "NOUN|_|
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"33": "NOUN|_|
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"34": "NOUN|_|
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"35": "NOUN|_|
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"41": "NOUN|_|
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"42": "
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"43": "
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"44": "NUM|_|
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"45": "NUM|_|
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"46": "NUM|_|
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"47": "NUM|_|
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"48": "NUM|_|
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"49": "NUM|_|
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"50": "NUM|_|
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"51": "
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"52": "
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"53": "
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"54": "PRON|_|
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"55": "PRON|_|
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"56": "PRON|_|
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"57": "PRON|_|
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"58": "PRON|_|
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"59": "PRON|_|
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"60": "
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"61": "
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"62": "PROPN|_|
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"63": "PROPN|_|
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"64": "PROPN|_|
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"65": "PROPN|_|
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"66": "PROPN|_|
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"67": "PROPN|_|
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"68": "PROPN|_|
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"69": "
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"70": "
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"71": "
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"72": "
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"73": "
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"74": "
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"75": "
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"76": "
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"77": "
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"78": "
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"79": "VERB|_|
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"80": "VERB|_|
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"81": "VERB|_|
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"82": "VERB|_|
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"84": "VERB|_|
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"85": "
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"86": "
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"87": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"ADJ|_|amod": 3,
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"ADJ|_|ccomp": 4,
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"ADJ|_|csubj": 5,
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"ADJ|_|
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"ADJ|_|
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"ADJ|_|nmod": 8,
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"ADJ|_|nsubj": 9,
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"ADJ|_|obj": 10,
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@@ -127,73 +131,77 @@
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"ADV|_|obj": 18,
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"ADV|_|root": 19,
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"AUX|Polarity=Neg|aux": 20,
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"AUX|
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"AUX|_|
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"INTJ|_|
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"NOUN|Polarity=Neg|
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"NOUN|
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"PRON|_|
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"PROPN|_|
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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@@ -205,12 +213,15 @@
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 1024,
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"pos_att_type":
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"tokenizer_class": "DebertaV2TokenizerFast",
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"torch_dtype": "float32",
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"transformers_version": "4.22.
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"type_vocab_size": 0,
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"vocab_size": 32000
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}
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"3": "ADJ|_|amod",
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"4": "ADJ|_|ccomp",
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"5": "ADJ|_|csubj",
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"6": "ADJ|_|csubj:outer",
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"7": "ADJ|_|dep",
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"8": "ADJ|_|nmod",
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"9": "ADJ|_|nsubj",
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"10": "ADJ|_|obj",
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"18": "ADV|_|obj",
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"19": "ADV|_|root",
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"20": "AUX|Polarity=Neg|aux",
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"21": "AUX|Polarity=Neg|fixed",
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"22": "AUX|_|aux",
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"23": "AUX|_|cop",
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"24": "AUX|_|fixed",
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"25": "AUX|_|root",
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"26": "CCONJ|_|cc",
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"27": "DET|_|det",
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"28": "INTJ|_|discourse",
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"29": "INTJ|_|root",
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"30": "NOUN|Polarity=Neg|obl",
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"31": "NOUN|Polarity=Neg|root",
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"32": "NOUN|_|acl",
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"33": "NOUN|_|advcl",
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"34": "NOUN|_|ccomp",
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"35": "NOUN|_|compound",
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"36": "NOUN|_|csubj",
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"37": "NOUN|_|csubj:outer",
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"38": "NOUN|_|nmod",
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"39": "NOUN|_|nsubj",
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"40": "NOUN|_|nsubj:outer",
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"41": "NOUN|_|obj",
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"42": "NOUN|_|obl",
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"43": "NOUN|_|root",
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"44": "NUM|_|advcl",
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"45": "NUM|_|compound",
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"46": "NUM|_|nmod",
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"47": "NUM|_|nsubj",
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"48": "NUM|_|nsubj:outer",
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"49": "NUM|_|nummod",
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"50": "NUM|_|obj",
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"51": "NUM|_|obl",
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"52": "NUM|_|root",
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"53": "PART|_|mark",
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"54": "PRON|_|acl",
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"55": "PRON|_|advcl",
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"56": "PRON|_|nmod",
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"57": "PRON|_|nsubj",
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"58": "PRON|_|nsubj:outer",
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"59": "PRON|_|obj",
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"60": "PRON|_|obl",
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"61": "PRON|_|root",
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"62": "PROPN|_|acl",
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"63": "PROPN|_|advcl",
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"64": "PROPN|_|compound",
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"65": "PROPN|_|nmod",
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"66": "PROPN|_|nsubj",
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"67": "PROPN|_|nsubj:outer",
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"68": "PROPN|_|obj",
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"69": "PROPN|_|obl",
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"70": "PROPN|_|root",
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"71": "PUNCT|_|punct",
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"72": "SCONJ|_|dep",
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"73": "SCONJ|_|fixed",
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"74": "SCONJ|_|mark",
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"75": "SYM|_|compound",
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"76": "SYM|_|dep",
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"77": "SYM|_|nmod",
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"78": "SYM|_|obl",
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"79": "VERB|_|acl",
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"80": "VERB|_|advcl",
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"81": "VERB|_|ccomp",
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"82": "VERB|_|compound",
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"83": "VERB|_|csubj",
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"84": "VERB|_|csubj:outer",
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"85": "VERB|_|nmod",
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"86": "VERB|_|obj",
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"87": "VERB|_|obl",
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"88": "VERB|_|root",
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"89": "X|_|dep",
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"90": "X|_|goeswith",
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"91": "X|_|nmod"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"ADJ|_|amod": 3,
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"ADJ|_|ccomp": 4,
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"ADJ|_|csubj": 5,
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"ADJ|_|csubj:outer": 6,
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"ADJ|_|dep": 7,
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"ADJ|_|nmod": 8,
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"ADJ|_|nsubj": 9,
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"ADJ|_|obj": 10,
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"ADV|_|obj": 18,
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"ADV|_|root": 19,
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"AUX|Polarity=Neg|aux": 20,
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"AUX|Polarity=Neg|fixed": 21,
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"AUX|_|aux": 22,
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"AUX|_|cop": 23,
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"AUX|_|fixed": 24,
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"AUX|_|root": 25,
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"CCONJ|_|cc": 26,
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"DET|_|det": 27,
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"INTJ|_|discourse": 28,
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"INTJ|_|root": 29,
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"NOUN|Polarity=Neg|obl": 30,
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"NOUN|Polarity=Neg|root": 31,
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"NOUN|_|acl": 32,
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"NOUN|_|advcl": 33,
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"NOUN|_|ccomp": 34,
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"NOUN|_|compound": 35,
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"NOUN|_|csubj": 36,
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"NOUN|_|csubj:outer": 37,
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"NOUN|_|nmod": 38,
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"NOUN|_|nsubj": 39,
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"NOUN|_|nsubj:outer": 40,
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"NOUN|_|obj": 41,
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"NOUN|_|obl": 42,
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"NOUN|_|root": 43,
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"NUM|_|advcl": 44,
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"NUM|_|compound": 45,
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"NUM|_|nmod": 46,
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"NUM|_|nsubj": 47,
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"NUM|_|nsubj:outer": 48,
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"NUM|_|nummod": 49,
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"NUM|_|obj": 50,
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"NUM|_|obl": 51,
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"NUM|_|root": 52,
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"PART|_|mark": 53,
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"PRON|_|acl": 54,
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"PRON|_|advcl": 55,
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"PRON|_|nmod": 56,
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"PRON|_|nsubj": 57,
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"PRON|_|nsubj:outer": 58,
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"PRON|_|obj": 59,
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"PRON|_|obl": 60,
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"PRON|_|root": 61,
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"PROPN|_|acl": 62,
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"PROPN|_|advcl": 63,
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"PROPN|_|compound": 64,
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"PROPN|_|nmod": 65,
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"PROPN|_|nsubj": 66,
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"PROPN|_|nsubj:outer": 67,
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"PROPN|_|obj": 68,
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"PROPN|_|obl": 69,
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"PROPN|_|root": 70,
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"PUNCT|_|punct": 71,
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"SCONJ|_|dep": 72,
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"SCONJ|_|fixed": 73,
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"SCONJ|_|mark": 74,
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"SYM|_|compound": 75,
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"SYM|_|dep": 76,
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"SYM|_|nmod": 77,
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"SYM|_|obl": 78,
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"VERB|_|acl": 79,
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"VERB|_|advcl": 80,
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"VERB|_|ccomp": 81,
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"VERB|_|compound": 82,
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"VERB|_|csubj": 83,
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"VERB|_|csubj:outer": 84,
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"VERB|_|nmod": 85,
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"VERB|_|obj": 86,
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"VERB|_|obl": 87,
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"VERB|_|root": 88,
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"X|_|dep": 89,
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"X|_|goeswith": 90,
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"X|_|nmod": 91
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 1024,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"relative_attention": true,
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"tokenizer_class": "DebertaV2TokenizerFast",
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"torch_dtype": "float32",
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"transformers_version": "4.22.1",
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"type_vocab_size": 0,
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"vocab_size": 32000
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}
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maker.py
CHANGED
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#! /usr/bin/python3
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src="KoichiYasuoka/deberta-large-japanese-wikipedia"
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tgt="KoichiYasuoka/deberta-large-japanese-wikipedia-ud-goeswith"
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url="https://github.com/UniversalDependencies/UD_Japanese-GSDLUW"
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import os
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devDS=UDgoeswithDataset("dev.conllu",tkz)
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testDS=UDgoeswithDataset("test.conllu",tkz)
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lid=trainDS(devDS,testDS)
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cfg=AutoConfig.from_pretrained(src,num_labels=len(lid),label2id=lid,id2label={i:l for l,i in lid.items()})
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arg=TrainingArguments(num_train_epochs=3,per_device_train_batch_size=
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trn=Trainer(args=arg,data_collator=DataCollatorForTokenClassification(tkz),model=AutoModelForTokenClassification.from_pretrained(src,config=cfg),train_dataset=trainDS,eval_dataset=devDS)
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trn.train()
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trn.save_model(tgt)
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tkz.save_pretrained(tgt)
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#! /usr/bin/python3
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src="KoichiYasuoka/deberta-large-japanese-wikipedia-luw-upos"
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tgt="KoichiYasuoka/deberta-large-japanese-wikipedia-ud-goeswith"
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url="https://github.com/UniversalDependencies/UD_Japanese-GSDLUW"
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import os
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devDS=UDgoeswithDataset("dev.conllu",tkz)
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testDS=UDgoeswithDataset("test.conllu",tkz)
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lid=trainDS(devDS,testDS)
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cfg=AutoConfig.from_pretrained(src,num_labels=len(lid),label2id=lid,id2label={i:l for l,i in lid.items()},ignore_mismatched_sizes=True,task_specific_params=None)
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arg=TrainingArguments(num_train_epochs=3,per_device_train_batch_size=24,output_dir="/tmp",overwrite_output_dir=True,save_total_limit=2,evaluation_strategy="epoch",learning_rate=5e-05,warmup_ratio=0.1)
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51 |
+
trn=Trainer(args=arg,data_collator=DataCollatorForTokenClassification(tkz),model=AutoModelForTokenClassification.from_pretrained(src,config=cfg,ignore_mismatched_sizes=True),train_dataset=trainDS,eval_dataset=devDS)
|
52 |
trn.train()
|
53 |
trn.save_model(tgt)
|
54 |
tkz.save_pretrained(tgt)
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164986d225244ad6c6257478e965b39108b9d819a1b95ab5714faa0b4b0ab044
|
3 |
+
size 1546582835
|