Model save
Browse files- .gitignore +1 -0
- config.json +31 -0
- pytorch_model.bin +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/1678202975.7996972/events.out.tfevents.1678202975.48a53dbfb3b0.128.1 +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/1678203416.4372823/events.out.tfevents.1678203416.48a53dbfb3b0.128.3 +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/1678203445.670006/events.out.tfevents.1678203445.48a53dbfb3b0.128.5 +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/1678203563.8350427/events.out.tfevents.1678203563.48a53dbfb3b0.128.7 +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/events.out.tfevents.1678202975.48a53dbfb3b0.128.0 +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/events.out.tfevents.1678203416.48a53dbfb3b0.128.2 +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/events.out.tfevents.1678203445.48a53dbfb3b0.128.4 +3 -0
- runs/Mar07_15-28-22_48a53dbfb3b0/events.out.tfevents.1678203563.48a53dbfb3b0.128.6 +3 -0
- runs/Mar07_15-41-25_48a53dbfb3b0/1678203715.3056836/events.out.tfevents.1678203715.48a53dbfb3b0.11296.1 +3 -0
- runs/Mar07_15-41-25_48a53dbfb3b0/events.out.tfevents.1678203715.48a53dbfb3b0.11296.0 +3 -0
- runs/Mar07_17-10-23_48a53dbfb3b0/1678209052.6698537/events.out.tfevents.1678209052.48a53dbfb3b0.11296.3 +3 -0
- runs/Mar07_17-10-23_48a53dbfb3b0/events.out.tfevents.1678209052.48a53dbfb3b0.11296.2 +3 -0
- runs/Mar07_17-14-28_48a53dbfb3b0/1678209289.4229116/events.out.tfevents.1678209289.48a53dbfb3b0.11296.5 +3 -0
- runs/Mar07_17-14-28_48a53dbfb3b0/events.out.tfevents.1678209289.48a53dbfb3b0.11296.4 +3 -0
- runs/Mar07_17-27-14_48a53dbfb3b0/1678210050.427268/events.out.tfevents.1678210050.48a53dbfb3b0.37768.1 +3 -0
- runs/Mar07_17-27-14_48a53dbfb3b0/events.out.tfevents.1678210050.48a53dbfb3b0.37768.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "bert-base-multilingual-cased",
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"architectures": [
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"BertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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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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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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pytorch_model.bin
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "bert-base-multilingual-cased",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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vocab.txt
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