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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased-distilled-squad |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Ahmed-Zakaria/distilbert-base-cased-finetuned-squad |
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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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# Ahmed-Zakaria/distilbert-base-cased-finetuned-squad |
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This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.3370 |
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- Train End Logits Accuracy: 0.8992 |
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- Train Start Logits Accuracy: 0.8669 |
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- Validation Loss: 1.3575 |
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- Validation End Logits Accuracy: 0.7082 |
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- Validation Start Logits Accuracy: 0.6769 |
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- Epoch: 2 |
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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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16635, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch | |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
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| 0.6238 | 0.8207 | 0.7789 | 1.1257 | 0.7123 | 0.6807 | 0 | |
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| 0.4553 | 0.8655 | 0.8283 | 1.2318 | 0.7094 | 0.6784 | 1 | |
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| 0.3370 | 0.8992 | 0.8669 | 1.3575 | 0.7082 | 0.6769 | 2 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- TensorFlow 2.13.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.0 |
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