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dima806
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strong-password-checker-bert

Text Classification
Transformers
PyTorch
Safetensors
bert
Inference Endpoints
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Files changed (11) hide show
  1. checkpoint-3125/config.json +31 -0
  2. checkpoint-3125/optimizer.pt +3 -0
  3. checkpoint-3125/pytorch_model.bin +3 -0
  4. checkpoint-3125/rng_state.pth +3 -0
  5. checkpoint-3125/scheduler.pt +3 -0
  6. checkpoint-3125/trainer_state.json +0 -0
  7. checkpoint-3125/training_args.bin +3 -0
  8. config.json +31 -0
  9. pytorch_model.bin +3 -0
  10. training_args.bin +3 -0
  11. vocab.txt +0 -0
checkpoint-3125/config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-cased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "WEAK PASSWORD",
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+ "1": "STRONG PASSWORD"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.30.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
checkpoint-3125/optimizer.pt ADDED
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checkpoint-3125/trainer_state.json ADDED
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checkpoint-3125/training_args.bin ADDED
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config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-cased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "WEAK PASSWORD",
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+ "1": "STRONG PASSWORD"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.30.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
pytorch_model.bin ADDED
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training_args.bin ADDED
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vocab.txt ADDED
The diff for this file is too large to render. See raw diff