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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: cruiser/final_model |
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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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# cruiser/final_model |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0316 |
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- Validation Loss: 1.1405 |
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- Train Accuracy: 0.7835 |
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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: {'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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 34090, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 250, 'power': 1.0, '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 | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 0.6358 | 0.5405 | 0.7821 | 0 | |
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| 0.4380 | 0.5118 | 0.7844 | 1 | |
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| 0.3382 | 0.5437 | 0.7960 | 2 | |
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| 0.2327 | 0.6227 | 0.7878 | 3 | |
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| 0.1581 | 0.7234 | 0.7795 | 4 | |
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| 0.1104 | 0.8340 | 0.7832 | 5 | |
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| 0.0826 | 0.8824 | 0.7778 | 6 | |
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| 0.0608 | 1.0342 | 0.7827 | 7 | |
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| 0.0456 | 1.0815 | 0.7818 | 8 | |
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| 0.0396 | 1.0829 | 0.7852 | 9 | |
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| 0.0316 | 1.1405 | 0.7835 | 10 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- TensorFlow 2.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.2 |
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