basakdemirok commited on
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Training in progress epoch 0

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README.md ADDED
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+ ---
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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: basakdemirok/bert-base-turkish-cased-news_cat_v02
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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 Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # basakdemirok/bert-base-turkish-cased-news_cat_v02
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+
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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: 0.4700
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+ - Validation Loss: 0.2010
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+ - Train F1: 0.9328
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+ - Epoch: 0
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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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+ - 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': 1492, '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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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Train F1 | Epoch |
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+ |:----------:|:---------------:|:--------:|:-----:|
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+ | 0.4700 | 0.2010 | 0.9328 | 0 |
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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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+ - TensorFlow 2.13.1
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+ - Datasets 2.4.0
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+ - Tokenizers 0.19.1
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+ "_name_or_path": "dbmdz/bert-base-turkish-cased",
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+ "BertForSequenceClassification"
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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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+ "position_embedding_type": "absolute",
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