Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +29 -0
- pytorch_model.bin +3 -0
- runs/Apr06_04-37-25_chiba-gpu-2/1649226745.1824198/events.out.tfevents.1649226745.chiba-gpu-2.29666.1 +3 -0
- runs/Apr06_04-37-25_chiba-gpu-2/events.out.tfevents.1649226745.chiba-gpu-2.29666.0 +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -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": "bandainamco-mirai/distilbert-base-japanese",
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"activation": "gelu",
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"architectures": [
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"DistilBertForQuestionAnswering"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"dim": 768,
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"dropout": 0.1,
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"eos_token_ids": 0,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"output_hidden_states": true,
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"output_past": true,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": true,
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"tie_weights_": true,
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"tokenizer_class": "BertJapaneseTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.12.5",
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"vocab_size": 32000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe5da310c3141c58fbe93d21dfffaf761b6fa8f74bc408170749d3a816aff94d
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size 270037493
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runs/Apr06_04-37-25_chiba-gpu-2/1649226745.1824198/events.out.tfevents.1649226745.chiba-gpu-2.29666.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf66370b5a1556484d674f941b11f743304b348a549a7284dba383f5d78067d9
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size 4587
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runs/Apr06_04-37-25_chiba-gpu-2/events.out.tfevents.1649226745.chiba-gpu-2.29666.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3d093a32b60c70f14e628f6619f117512a14a03000c545c70ea75c05090bf7d
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size 3378
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "do_lower_case": false, "do_word_tokenize": true, "do_subword_tokenize": true, "word_tokenizer_type": "mecab", "subword_tokenizer_type": "wordpiece", "never_split": null, "mecab_kwargs": null, "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "cl-tohoku/bert-base-japanese-whole-word-masking", "tokenizer_class": "BertJapaneseTokenizer"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:17b792d6963b6836fa9bf4c2be54bc27445105b64641e63da4b35f528b3eff15
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size 2863
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vocab.txt
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