| --- |
| license: mit |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: ishaankul67/Pub-clustered |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| probably proofread and complete it, then remove this comment. --> |
|
|
| # ishaankul67/Pub-clustered |
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| This model is a fine-tuned version of [nandysoham16/16-clustered_aug](https://huggingface.co/nandysoham16/16-clustered_aug) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.3332 |
| - Train End Logits Accuracy: 0.9028 |
| - Train Start Logits Accuracy: 0.9062 |
| - Validation Loss: 0.5714 |
| - Validation End Logits Accuracy: 0.7692 |
| - Validation Start Logits Accuracy: 0.7692 |
| - 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: |
| - optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 18, '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} |
| - 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 | |
| |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
| | 0.3332 | 0.9028 | 0.9062 | 0.5714 | 0.7692 | 0.7692 | 0 | |
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| ### Framework versions |
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| - Transformers 4.26.0 |
| - TensorFlow 2.9.2 |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.2 |
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