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results: []
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probably proofread and complete it, then remove this comment. -->
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# Docty/question_and_answer
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This model is a fine-tuned version of [distilbert/distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert/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: 0.4095
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- Validation Loss: 0.6306
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- Epoch: 9
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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': 200, '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 | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 1.2112 | 0.6667 | 0 |
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| 0.5043 | 0.6306 | 1 |
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| 0.4089 | 0.6306 | 2 |
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| 0.4124 | 0.6306 | 3 |
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| 0.4204 | 0.6306 | 4 |
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| 0.4269 | 0.6306 | 5 |
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| 0.4218 | 0.6306 | 6 |
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| 0.4031 | 0.6306 | 7 |
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| 0.4117 | 0.6306 | 8 |
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| 0.4095 | 0.6306 | 9 |
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### Framework versions
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- Transformers 4.47.0
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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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results: []
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---
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this is a clone of Docty/question_and_answer
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