Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: akdeniz27/bert-base-turkish-cased-ner
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-base-turkish-cased-ner-finetuned-ner
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-base-turkish-cased-ner-finetuned-ner
+
+This model is a fine-tuned version of [akdeniz27/bert-base-turkish-cased-ner](https://huggingface.co/akdeniz27/bert-base-turkish-cased-ner) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1768
+- Precision: 0.9689
+- Recall: 0.9688
+- F1: 0.9688
+- Accuracy: 0.9711
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1616        | 1.0   | 3334  | 0.1414          | 0.9622    | 0.9624 | 0.9623 | 0.9651   |
+| 0.1143        | 2.0   | 6668  | 0.1483          | 0.9667    | 0.9672 | 0.9670 | 0.9694   |
+| 0.0957        | 3.0   | 10002 | 0.1531          | 0.9680    | 0.9682 | 0.9681 | 0.9705   |
+| 0.0488        | 4.0   | 13336 | 0.1720          | 0.9690    | 0.9688 | 0.9689 | 0.9713   |
+| 0.03          | 5.0   | 16670 | 0.1768          | 0.9689    | 0.9688 | 0.9688 | 0.9711   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Aug31_19-31-35_2c536c84e717/events.out.tfevents.1725132768.2c536c84e717.1912.0

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