new version
Browse files- config.json +5 -4
- pytorch_model.bin +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
- vocab.txt +0 -0
config.json
CHANGED
@@ -1,5 +1,5 @@
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{
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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],
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@@ -229,7 +229,8 @@
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"216": "LABEL_216",
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"217": "LABEL_217",
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"218": "LABEL_218",
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"219": "LABEL_219"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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@@ -370,6 +371,7 @@
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"LABEL_218": 218,
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"LABEL_219": 219,
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"LABEL_22": 22,
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"LABEL_23": 23,
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"LABEL_24": 24,
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"LABEL_25": 25,
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@@ -460,7 +462,6 @@
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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@@ -473,5 +474,5 @@
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"transformers_version": "4.16.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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{
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+
"_name_or_path": "test_trainer_f/checkpoint-340",
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"architectures": [
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"BertForSequenceClassification"
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],
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"216": "LABEL_216",
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"217": "LABEL_217",
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"218": "LABEL_218",
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+
"219": "LABEL_219",
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+
"220": "LABEL_220"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"LABEL_218": 218,
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"LABEL_219": 219,
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"LABEL_22": 22,
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+
"LABEL_220": 220,
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"LABEL_23": 23,
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"LABEL_24": 24,
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"LABEL_25": 25,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"transformers_version": "4.16.2",
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"type_vocab_size": 2,
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"use_cache": true,
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+
"vocab_size": 105879
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}
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pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:1812fbc08868523091fddedee792d9dc85efa69e359efc22315c05c570622aa5
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size 670186733
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tokenizer.json
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tokenizer_config.json
CHANGED
@@ -1 +1 @@
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{"do_lower_case":
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-multilingual-uncased", "tokenizer_class": "BertTokenizer"}
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vocab.txt
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