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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: nandysoham/Poultry-theme-finetuned-overfinetuned |
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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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# nandysoham/Poultry-theme-finetuned-overfinetuned |
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This model is a fine-tuned version of [nandysoham/distilbert-base-uncased-finetuned-squad](https://huggingface.co/nandysoham/distilbert-base-uncased-finetuned-squad) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.4170 |
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- Train End Logits Accuracy: 0.4667 |
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- Train Start Logits Accuracy: 0.4583 |
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- Validation Loss: 1.9876 |
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- Validation End Logits Accuracy: 0.4839 |
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- Validation Start Logits Accuracy: 0.5161 |
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- Epoch: 0 |
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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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 30, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, '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 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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| 2.4170 | 0.4667 | 0.4583 | 1.9876 | 0.4839 | 0.5161 | 0 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- TensorFlow 2.9.2 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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