Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +25 -0
- pytorch_model.bin +3 -0
- runs/May15_14-03-15_anuj-2019pcs0004/1652623495.0228949/events.out.tfevents.1652623495.anuj-2019pcs0004.2017074.1 +3 -0
- runs/May15_14-03-15_anuj-2019pcs0004/1652624019.5410569/events.out.tfevents.1652624019.anuj-2019pcs0004.2017074.3 +3 -0
- runs/May15_14-03-15_anuj-2019pcs0004/1652624078.6628191/events.out.tfevents.1652624078.anuj-2019pcs0004.2017074.5 +3 -0
- runs/May15_14-03-15_anuj-2019pcs0004/1652624114.3321455/events.out.tfevents.1652624114.anuj-2019pcs0004.2017074.6 +3 -0
- runs/May15_14-03-15_anuj-2019pcs0004/events.out.tfevents.1652623495.anuj-2019pcs0004.2017074.0 +3 -0
- runs/May15_14-03-15_anuj-2019pcs0004/events.out.tfevents.1652624019.anuj-2019pcs0004.2017074.2 +3 -0
- runs/May15_14-03-15_anuj-2019pcs0004/events.out.tfevents.1652624078.anuj-2019pcs0004.2017074.4 +3 -0
- runs/May15_14-27-45_anuj-2019pcs0004/1652624893.9067998/events.out.tfevents.1652624893.anuj-2019pcs0004.2017074.8 +3 -0
- runs/May15_14-27-45_anuj-2019pcs0004/1652627509.7986548/events.out.tfevents.1652627509.anuj-2019pcs0004.2017074.9 +3 -0
- runs/May15_14-27-45_anuj-2019pcs0004/events.out.tfevents.1652624893.anuj-2019pcs0004.2017074.7 +3 -0
- runs/May15_15-23-30_anuj-2019pcs0004/1652628229.0856452/events.out.tfevents.1652628229.anuj-2019pcs0004.2017074.11 +3 -0
- runs/May15_15-23-30_anuj-2019pcs0004/events.out.tfevents.1652628229.anuj-2019pcs0004.2017074.10 +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -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": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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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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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.19.1",
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"vocab_size": 30522
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}
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pytorch_model.bin
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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.json
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tokenizer_config.json
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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": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}
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training_args.bin
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vocab.txt
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