Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +25 -0
- pytorch_model.bin +3 -0
- runs/Apr28_01-37-14_molly-dl/1682671044.0506606/events.out.tfevents.1682671044.molly-dl.2174818.3 +3 -0
- runs/Apr28_01-37-14_molly-dl/1682671240.2487767/events.out.tfevents.1682671240.molly-dl.2174818.5 +3 -0
- runs/Apr28_01-37-14_molly-dl/1682671540.8710446/events.out.tfevents.1682671540.molly-dl.2174818.7 +3 -0
- runs/Apr28_01-37-14_molly-dl/1682672208.7607434/events.out.tfevents.1682672208.molly-dl.2174818.9 +3 -0
- runs/Apr28_01-37-14_molly-dl/1682672412.486275/events.out.tfevents.1682672412.molly-dl.2174818.10 +3 -0
- runs/Apr28_01-37-14_molly-dl/1682672624.0275238/events.out.tfevents.1682672624.molly-dl.2174818.12 +3 -0
- runs/Apr28_01-37-14_molly-dl/1682672836.345966/events.out.tfevents.1682672836.molly-dl.2174818.14 +3 -0
- runs/Apr28_01-37-14_molly-dl/events.out.tfevents.1682671044.molly-dl.2174818.2 +3 -0
- runs/Apr28_01-37-14_molly-dl/events.out.tfevents.1682671240.molly-dl.2174818.4 +3 -0
- runs/Apr28_01-37-14_molly-dl/events.out.tfevents.1682671540.molly-dl.2174818.6 +3 -0
- runs/Apr28_01-37-14_molly-dl/events.out.tfevents.1682672208.molly-dl.2174818.8 +3 -0
- runs/Apr28_01-37-14_molly-dl/events.out.tfevents.1682672624.molly-dl.2174818.11 +3 -0
- runs/Apr28_01-37-14_molly-dl/events.out.tfevents.1682672836.molly-dl.2174818.13 +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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"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": "4.23.1",
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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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{
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"cls_token": "[CLS]",
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tokenizer.json
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tokenizer_config.json
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"tokenizer_class": "DistilBertTokenizer",
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training_args.bin
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vocab.txt
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