Upload model weights and config
Browse files- config.json +36 -0
- model.safetensors +3 -0
- test_metrics.json +11 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- training_args.bin +3 -0
config.json
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{
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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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"bos_token_id": null,
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"dim": 768,
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"dropout": 0.1,
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"dtype": "float32",
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"eos_token_id": null,
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"hidden_dim": 3072,
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"id2label": {
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"0": "benign",
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"1": "malicious"
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},
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"initializer_range": 0.02,
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"label2id": {
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"benign": 0,
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"malicious": 1
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},
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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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"tie_word_embeddings": true,
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"transformers_version": "5.2.0",
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"use_cache": false,
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7d4c8627b26361e6c35cbdb8338e66083bfa41f47f880b633d152a80048e6cd
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size 267832560
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test_metrics.json
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{
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"eval_loss": 0.023553863167762756,
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"eval_accuracy": 0.9913419913419913,
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"eval_precision": 0.9950331125827815,
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"eval_recall": 0.9933884297520661,
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"eval_f1": 0.9942100909842845,
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"eval_runtime": 11.8577,
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"eval_samples_per_second": 272.734,
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"eval_steps_per_second": 8.602,
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"epoch": 3.0
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"is_local": false,
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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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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d06d66b72c467c8fc53abdc03ec47d058c1faa3e95852978571984daa79d969f
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size 4792
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