Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +75 -0
- pytorch_model.bin +3 -0
- runs/Sep17_08-06-49_297b0d9b2438/1663402028.7839847/events.out.tfevents.1663402028.297b0d9b2438.71.1 +3 -0
- runs/Sep17_08-06-49_297b0d9b2438/events.out.tfevents.1663402028.297b0d9b2438.71.0 +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
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "dbmdz/bert-base-turkish-cased",
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"architectures": [
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"BertForTokenClassification"
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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": "O",
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"1": "B-DepositProduct",
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"10": "I-ServiceClosest",
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"11": "B-Location",
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"12": "I-Location",
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"13": "B-ServiceNumber",
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"14": "I-ServiceNumber",
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"15": "B-Brand",
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"16": "I-Brand",
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"17": "B-Campaign",
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"18": "I-Campaign",
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"19": "B-ProductSelector",
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"2": "I-DepositProduct",
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"20": "I-ProductSelector",
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"21": "B-SpecialCampaign",
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"22": "I-SpecialCampaign",
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"3": "B-Product",
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"4": "I-Product",
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"5": "B-ProductProblemInfo",
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"6": "I-ProductProblemInfo",
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"7": "B-ServiceInformation",
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"8": "I-ServiceInformation",
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"9": "B-ServiceClosest"
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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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"B-Brand": "15",
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"B-Campaign": "17",
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"B-DepositProduct": "1",
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"B-Location": "11",
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"B-Product": "3",
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"B-ProductProblemInfo": "5",
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"B-ProductSelector": "19",
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"B-ServiceClosest": "9",
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"B-ServiceInformation": "7",
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"B-ServiceNumber": "13",
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"B-SpecialCampaign": "21",
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"I-Brand": "16",
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"I-Campaign": "18",
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"I-DepositProduct": "2",
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"I-Location": "12",
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"I-Product": "4",
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"I-ProductProblemInfo": "6",
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"I-ProductSelector": "20",
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"I-ServiceClosest": "10",
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"I-ServiceInformation": "8",
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"I-ServiceNumber": "14",
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"I-SpecialCampaign": "22",
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"O": "0"
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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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"torch_dtype": "float32",
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"transformers_version": "4.22.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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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 sha256:15a8b509d8df7446a8a6940dce4e175ae2145cc1e3c410739d8b6b8a9c05eb9e
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size 440248177
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runs/Sep17_08-06-49_297b0d9b2438/1663402028.7839847/events.out.tfevents.1663402028.297b0d9b2438.71.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:9122d183407952131bf3b8b1d792bfe36efa48cbe8fea91c2169896be08e157b
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size 5501
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runs/Sep17_08-06-49_297b0d9b2438/events.out.tfevents.1663402028.297b0d9b2438.71.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7076fc6c04c2acf9339f703135658e0c1cf6aaa49dc25c4b888aad603d0e7a83
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size 5548
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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": false,
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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-cased",
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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:b67a2d0704b74b950945ca328367bb780f21840b0c45f6c6465e6edbc05781b0
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size 3375
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vocab.txt
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