moarslan commited on
Commit
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1 Parent(s): 5e49cda
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: dbmdz/bert-base-turkish-uncased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: bert-base-turkish-uncased-ner
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert-base-turkish-uncased-ner
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+
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+ This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2539
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+ - F1: 0.7738
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 593 | 0.2625 | 0.7593 |
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+ | 0.3541 | 2.0 | 1186 | 0.2497 | 0.7683 |
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+ | 0.3541 | 3.0 | 1779 | 0.2509 | 0.7660 |
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+ | 0.1847 | 4.0 | 2372 | 0.2539 | 0.7738 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "dbmdz/bert-base-turkish-uncased",
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "0": "B-CARDINAL",
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+ "1": "I-TITLE",
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+ "3": "B-ORDINAL",
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+ "5": "I-QUANTITY",
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+ "7": "I-GPE",
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+ "8": "I-PERCENT",
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+ "9": "I-LAW",
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+ "10": "I-NORP",
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "use_cache": true,
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