Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +39 -0
- pytorch_model.bin +3 -0
- runs/Feb20_01-50-08_Ridhwan/1676829020.529511/events.out.tfevents.1676829020.Ridhwan.14040.1 +3 -0
- runs/Feb20_01-50-08_Ridhwan/events.out.tfevents.1676829020.Ridhwan.14040.0 +3 -0
- runs/Feb20_02-13-39_Ridhwan/1676830426.1362448/events.out.tfevents.1676830426.Ridhwan.13744.1 +3 -0
- runs/Feb20_02-13-39_Ridhwan/events.out.tfevents.1676830426.Ridhwan.13744.0 +3 -0
- runs/Feb20_02-14-42_Ridhwan/1676830488.6387293/events.out.tfevents.1676830488.Ridhwan.13744.3 +3 -0
- runs/Feb20_02-14-42_Ridhwan/events.out.tfevents.1676830488.Ridhwan.13744.2 +3 -0
- runs/Feb20_02-15-36_Ridhwan/1676830543.0845845/events.out.tfevents.1676830543.Ridhwan.13744.5 +3 -0
- runs/Feb20_02-15-36_Ridhwan/events.out.tfevents.1676830543.Ridhwan.13744.4 +3 -0
- runs/Feb20_02-16-54_Ridhwan/1676830621.279657/events.out.tfevents.1676830621.Ridhwan.13744.7 +3 -0
- runs/Feb20_02-16-54_Ridhwan/events.out.tfevents.1676830621.Ridhwan.13744.6 +3 -0
- runs/Feb20_02-18-03_Ridhwan/1676830690.1710548/events.out.tfevents.1676830690.Ridhwan.13744.9 +3 -0
- runs/Feb20_02-18-03_Ridhwan/events.out.tfevents.1676830690.Ridhwan.13744.8 +3 -0
- runs/Feb20_02-19-24_Ridhwan/1676830771.434966/events.out.tfevents.1676830771.Ridhwan.8260.1 +3 -0
- runs/Feb20_02-19-24_Ridhwan/events.out.tfevents.1676830771.Ridhwan.8260.0 +3 -0
- runs/Feb20_02-21-30_Ridhwan/1676830896.581982/events.out.tfevents.1676830896.Ridhwan.23024.1 +3 -0
- runs/Feb20_02-21-30_Ridhwan/events.out.tfevents.1676830896.Ridhwan.23024.0 +3 -0
- runs/Feb20_02-22-38_Ridhwan/1676830965.2373343/events.out.tfevents.1676830965.Ridhwan.23024.3 +3 -0
- runs/Feb20_02-22-38_Ridhwan/events.out.tfevents.1676830965.Ridhwan.23024.2 +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": "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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"model_type": "distilbert",
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"n_layers": 6,
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"vocab_size": 30522
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}
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pytorch_model.bin
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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vocab.txt
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