Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +25 -0
- pytorch_model.bin +3 -0
- runs/Apr07_08-04-17_0f51472a0ae3/1680854662.4821599/events.out.tfevents.1680854662.0f51472a0ae3.195.1 +3 -0
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- runs/Apr07_08-06-12_0f51472a0ae3/1680854775.2542162/events.out.tfevents.1680854775.0f51472a0ae3.195.3 +3 -0
- runs/Apr07_08-06-12_0f51472a0ae3/events.out.tfevents.1680854775.0f51472a0ae3.195.2 +3 -0
- runs/Apr07_08-07-45_0f51472a0ae3/1680854868.1272173/events.out.tfevents.1680854868.0f51472a0ae3.195.5 +3 -0
- runs/Apr07_08-07-45_0f51472a0ae3/events.out.tfevents.1680854868.0f51472a0ae3.195.4 +3 -0
- runs/Apr07_08-08-01_0f51472a0ae3/1680854884.9037015/events.out.tfevents.1680854884.0f51472a0ae3.195.7 +3 -0
- runs/Apr07_08-08-01_0f51472a0ae3/events.out.tfevents.1680854884.0f51472a0ae3.195.6 +3 -0
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- runs/Apr07_08-09-03_0f51472a0ae3/events.out.tfevents.1680854946.0f51472a0ae3.195.8 +3 -0
- runs/Apr07_08-10-23_0f51472a0ae3/1680855026.2458706/events.out.tfevents.1680855026.0f51472a0ae3.195.11 +3 -0
- runs/Apr07_08-10-23_0f51472a0ae3/events.out.tfevents.1680855026.0f51472a0ae3.195.10 +3 -0
- runs/Apr07_08-13-55_0f51472a0ae3/1680855238.2775812/events.out.tfevents.1680855238.0f51472a0ae3.195.13 +3 -0
- runs/Apr07_08-13-55_0f51472a0ae3/events.out.tfevents.1680855238.0f51472a0ae3.195.12 +3 -0
- runs/Apr07_08-19-52_0f51472a0ae3/1680855595.1653495/events.out.tfevents.1680855595.0f51472a0ae3.195.15 +3 -0
- runs/Apr07_08-19-52_0f51472a0ae3/events.out.tfevents.1680855595.0f51472a0ae3.195.14 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -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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"hidden_dim": 3072,
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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": "4.27.4",
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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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{
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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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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"tokenizer_class": "DistilBertTokenizer",
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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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