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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: ratish/DBERT_Fault_LR_v2.1 |
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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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# ratish/DBERT_Fault_LR_v2.1 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-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: 0.1501 |
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- Validation Loss: 0.6305 |
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- Train Accuracy: 0.7179 |
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- Epoch: 29 |
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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': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 9120, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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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| 0.6963 | 0.6916 | 0.5128 | 0 | |
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| 0.6774 | 0.6929 | 0.5128 | 1 | |
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| 0.6631 | 0.7000 | 0.5128 | 2 | |
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| 0.6580 | 0.7070 | 0.5128 | 3 | |
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| 0.6409 | 0.7104 | 0.5128 | 4 | |
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| 0.6296 | 0.7015 | 0.5128 | 5 | |
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| 0.6115 | 0.6866 | 0.5128 | 6 | |
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| 0.5940 | 0.6573 | 0.5897 | 7 | |
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| 0.5616 | 0.6263 | 0.5897 | 8 | |
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| 0.5230 | 0.5886 | 0.6667 | 9 | |
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| 0.4890 | 0.5608 | 0.7179 | 10 | |
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| 0.4523 | 0.5386 | 0.7436 | 11 | |
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| 0.4307 | 0.5424 | 0.7179 | 12 | |
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| 0.4013 | 0.5261 | 0.7179 | 13 | |
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| 0.3893 | 0.4976 | 0.7436 | 14 | |
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| 0.3634 | 0.5459 | 0.6923 | 15 | |
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| 0.3337 | 0.4893 | 0.7436 | 16 | |
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| 0.3243 | 0.5490 | 0.7179 | 17 | |
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| 0.3083 | 0.5091 | 0.7179 | 18 | |
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| 0.2815 | 0.5457 | 0.7179 | 19 | |
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| 0.2654 | 0.5692 | 0.7179 | 20 | |
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| 0.2535 | 0.4808 | 0.7436 | 21 | |
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| 0.2504 | 0.5912 | 0.6923 | 22 | |
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| 0.2132 | 0.6228 | 0.6923 | 23 | |
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| 0.1962 | 0.5834 | 0.7179 | 24 | |
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| 0.2136 | 0.5261 | 0.7692 | 25 | |
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| 0.1895 | 0.6210 | 0.7179 | 26 | |
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| 0.1722 | 0.7140 | 0.7179 | 27 | |
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| 0.1580 | 0.6532 | 0.6923 | 28 | |
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| 0.1501 | 0.6305 | 0.7179 | 29 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- TensorFlow 2.12.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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