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Browse files- config.json +79 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- trainer_state.json +280 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"_name_or_path": "dbmdz/bert-base-turkish-128k-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-bina",
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"2": "I-bina",
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"3": "B-bulvar",
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"4": "I-bulvar",
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"5": "B-cadde",
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"6": "I-cadde",
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"7": "B-diskapino",
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"8": "I-diskapino",
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"9": "B-ilce",
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"10": "I-ilce",
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"11": "B-isim",
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"12": "I-isim",
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"13": "B-mahalle",
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"14": "I-mahalle",
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"15": "B-sehir",
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"16": "I-sehir",
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"17": "B-site",
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"18": "I-site",
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"19": "B-sokak",
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"20": "I-sokak",
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"21": "B-soyisim",
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"22": "I-soyisim",
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"23": "B-telefonno",
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"24": "I-telefonno"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_11": 11,
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"LABEL_12": 12,
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"LABEL_13": 13,
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"LABEL_14": 14,
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"LABEL_15": 15,
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"LABEL_16": 16,
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"LABEL_17": 17,
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"LABEL_18": 18,
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"LABEL_19": 19,
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"LABEL_2": 2,
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"LABEL_20": 20,
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"LABEL_21": 21,
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"LABEL_22": 22,
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"LABEL_23": 23,
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"LABEL_24": 24,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 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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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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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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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:03e5b6abd2d23114f80ba739e52371fbf145bb92dadfeaefed995a1c0ff2b1c8
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size 1470306981
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:48b9b18fb938174076f4cbee380fcbb9d15c4f5a3d9fbf17466b30cf45ee7c40
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size 735166321
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:677f7d5db153e2f2f36f2c642c2cea02b602c7ddea86f1bf8ef4f2d8c7c61614
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size 14503
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdeff2be549a63a7453ab951937f92c298b7a036d04ac7abf85e1d6e938ab27f
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size 623
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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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The diff for this file is too large to render.
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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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"model_max_length": 512,
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"name_or_path": "dbmdz/bert-base-turkish-128k-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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trainer_state.json
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{
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"best_metric": 0.21532948315143585,
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"best_model_checkpoint": "/mounts/work/akoksal/earthquake_ner_models/checkpoint-200",
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"epoch": 4.0,
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"global_step": 200,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"learning_rate": 4.4444444444444447e-05,
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"loss": 1.3495,
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"step": 50
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},
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{
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"epoch": 1.0,
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"eval_bina_f1": 0.6,
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"eval_bina_precision": 0.5217391304347826,
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"eval_bulvar_f1": 0.0,
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"eval_bulvar_precision": 0.0,
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"eval_cadde_f1": 0.5882352941176471,
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"eval_diskapino_f1": 0.7692307692307693,
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"eval_diskapino_precision": 0.6756756756756757,
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"eval_diskapino_support": 28,
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"eval_ilce_f1": 0.8305084745762712,
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"eval_ilce_precision": 0.8448275862068966,
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"eval_ilce_recall": 0.8166666666666667,
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"eval_ilce_support": 60,
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"eval_isim_f1": 0.888888888888889,
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"eval_isim_support": 82,
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"eval_loss": 0.3573211431503296,
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"eval_mahalle_f1": 0.75,
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"eval_mahalle_precision": 0.711864406779661,
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"eval_mahalle_recall": 0.7924528301886793,
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"eval_overall_accuracy": 0.9089356858281161,
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"eval_overall_f1": 0.8054740957966766,
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"eval_runtime": 0.172,
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"eval_sehir_f1": 0.8671328671328671,
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"eval_sehir_precision": 0.8732394366197183,
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"step": 50
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{
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"step": 100
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vocab.txt
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