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--- |
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library_name: transformers |
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license: mit |
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base_model: dbmdz/bert-base-turkish-cased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: umutarpayy/bert_fen_6 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# umutarpayy/bert_fen_6 |
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2601 |
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- Train Accuracy: 0.9492 |
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- Validation Loss: 0.1871 |
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- Validation Accuracy: 0.9544 |
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- Epoch: 10 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3768, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 2.7335 | 0.3676 | 1.5315 | 0.5813 | 0 | |
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| 1.3478 | 0.6236 | 1.0674 | 0.6885 | 1 | |
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| 1.0438 | 0.6943 | 0.8446 | 0.7242 | 2 | |
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| 0.8667 | 0.7393 | 0.6786 | 0.7956 | 3 | |
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| 0.7305 | 0.7888 | 0.5613 | 0.8512 | 4 | |
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| 0.6061 | 0.8316 | 0.4309 | 0.8889 | 5 | |
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| 0.5022 | 0.8635 | 0.3576 | 0.9127 | 6 | |
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| 0.4176 | 0.8977 | 0.3104 | 0.9266 | 7 | |
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| 0.3485 | 0.9174 | 0.2435 | 0.9444 | 8 | |
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| 0.2946 | 0.9385 | 0.2144 | 0.9444 | 9 | |
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| 0.2601 | 0.9492 | 0.1871 | 0.9544 | 10 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- TensorFlow 2.17.1 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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