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dima806
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email-spam-detection-roberta

Text Classification
Transformers
PyTorch
Safetensors
roberta
Inference Endpoints
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  1. checkpoint-8345/config.json +35 -0
  2. checkpoint-8345/optimizer.pt +3 -0
  3. checkpoint-8345/pytorch_model.bin +3 -0
  4. checkpoint-8345/rng_state.pth +3 -0
  5. checkpoint-8345/scheduler.pt +3 -0
  6. checkpoint-8345/trainer_state.json +0 -0
  7. checkpoint-8345/training_args.bin +3 -0
  8. config.json +35 -0
  9. merges.txt +0 -0
  10. pytorch_model.bin +3 -0
  11. training_args.bin +3 -0
  12. vocab.json +0 -0
checkpoint-8345/config.json ADDED
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+ {
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+ "_name_or_path": "roberta-base",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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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": "No spam",
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+ "1": "Spam"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "No spam": 0,
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+ "Spam": 1
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
checkpoint-8345/optimizer.pt ADDED
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checkpoint-8345/pytorch_model.bin ADDED
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checkpoint-8345/rng_state.pth ADDED
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checkpoint-8345/scheduler.pt ADDED
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checkpoint-8345/trainer_state.json ADDED
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checkpoint-8345/training_args.bin ADDED
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config.json ADDED
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+ {
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+ "_name_or_path": "roberta-base",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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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": "No spam",
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+ "1": "Spam"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "No spam": 0,
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+ "Spam": 1
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
merges.txt ADDED
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pytorch_model.bin ADDED
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training_args.bin ADDED
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vocab.json ADDED
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