| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: ratish/bert-textClassification_v1.4 |
| 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/bert-textClassification_v1.4 |
| |
| 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: 0.3431 |
| - Validation Loss: 0.8618 |
| - Train Accuracy: 0.7273 |
| - 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': 285, '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 | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 2.2087 | 1.9909 | 0.4091 | 0 | |
| | 1.7130 | 1.6444 | 0.5909 | 1 | |
| | 1.3350 | 1.3844 | 0.5455 | 2 | |
| | 1.0642 | 1.2276 | 0.6136 | 3 | |
| | 0.8599 | 1.1036 | 0.6818 | 4 | |
| | 0.7216 | 1.0790 | 0.6818 | 5 | |
| | 0.6305 | 1.0403 | 0.6818 | 6 | |
| | 0.5304 | 0.9581 | 0.7045 | 7 | |
| | 0.4899 | 0.8977 | 0.7273 | 8 | |
| | 0.4332 | 0.8907 | 0.7273 | 9 | |
| | 0.4000 | 0.9072 | 0.7273 | 10 | |
| | 0.3740 | 0.8734 | 0.7273 | 11 | |
| | 0.3579 | 0.8726 | 0.7273 | 12 | |
| | 0.3448 | 0.8648 | 0.7273 | 13 | |
| | 0.3431 | 0.8618 | 0.7273 | 14 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.27.4 |
| - TensorFlow 2.12.0 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
|
|
