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Browse files- Upload ./ with huggingface_hub (bf54f8c91577f08bed57e71b68ca0032750a6b66)
- config.json +50 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "dbmdz/bert-base-turkish-128k-uncased",
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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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"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": "Alakasiz",
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"1": "Barinma",
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"2": "Elektronik",
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"3": "Giysi",
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"4": "Kurtarma",
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"5": "Lojistik",
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"6": "Saglik",
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"7": "Su",
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"8": "Yagma",
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"9": "Yemek"
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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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"Alakasiz": 0,
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"Barinma": 1,
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"Elektronik": 2,
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"Giysi": 3,
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"Kurtarma": 4,
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"Lojistik": 5,
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"Saglik": 6,
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"Su": 7,
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"Yagma": 8,
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"Yemek": 9
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},
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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": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 128000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:85612c6a9e63ad6ac9493561cc857f0e3509dd41d474ebeb85cc354f39962f0f
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size 737484917
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_len": 512,
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"name_or_path": "dbmdz/bert-base-turkish-128k-uncased",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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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 sha256:072c66bdd2b3a4af78c99116fc9a3881568e3f5b680ecfc2dc63d84ef0d313d0
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size 3451
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vocab.txt
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