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--- |
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base_model: mrm8488/bert-small-finetuned-squadv2 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: badokorach/bert-finetuned-210124 |
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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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# badokorach/bert-finetuned-210124 |
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This model is a fine-tuned version of [mrm8488/bert-small-finetuned-squadv2](https://huggingface.co/mrm8488/bert-small-finetuned-squadv2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.2431 |
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- Validation Loss: 0.0 |
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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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1380, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 2.8157 | 0.0 | 0 | |
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| 2.4117 | 0.0 | 1 | |
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| 2.1810 | 0.0 | 2 | |
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| 1.9909 | 0.0 | 3 | |
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| 1.8301 | 0.0 | 4 | |
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| 1.6953 | 0.0 | 5 | |
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| 1.5453 | 0.0 | 6 | |
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| 1.4613 | 0.0 | 7 | |
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| 1.3860 | 0.0 | 8 | |
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| 1.2981 | 0.0 | 9 | |
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| 1.2431 | 0.0 | 10 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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