| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: ratish/DBERT_CleanDesc_COLLISION_v10 |
| 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. --> |
|
|
| # ratish/DBERT_CleanDesc_COLLISION_v10 |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.1992 |
| - Validation Loss: 1.6291 |
| - Train Accuracy: 0.6154 |
| - Epoch: 14 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - 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-05, 'decay_steps': 4575, '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} |
| - training_precision: float32 |
|
|
| ### Training results |
|
|
| | Train Loss | Validation Loss | Train Accuracy | Epoch | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 1.6309 | 1.7295 | 0.3077 | 0 | |
| | 1.4522 | 1.7291 | 0.3077 | 1 | |
| | 1.3637 | 1.6656 | 0.3590 | 2 | |
| | 1.2159 | 1.5797 | 0.4103 | 3 | |
| | 1.0494 | 1.4799 | 0.4872 | 4 | |
| | 0.8847 | 1.4288 | 0.5385 | 5 | |
| | 0.7629 | 1.4239 | 0.5128 | 6 | |
| | 0.6739 | 1.4484 | 0.5128 | 7 | |
| | 0.5598 | 1.4533 | 0.6154 | 8 | |
| | 0.4606 | 1.4160 | 0.6154 | 9 | |
| | 0.3736 | 1.4206 | 0.5897 | 10 | |
| | 0.3065 | 1.5229 | 0.5897 | 11 | |
| | 0.2580 | 1.6168 | 0.5641 | 12 | |
| | 0.2342 | 1.5924 | 0.6410 | 13 | |
| | 0.1992 | 1.6291 | 0.6154 | 14 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.1 |
| - TensorFlow 2.12.0 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
