| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: gor1/my_awesome_model_A1 |
| | 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. --> |
| |
|
| | # gor1/my_awesome_model_A1 |
| | |
| | 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: 0.2153 |
| | - Validation Loss: 0.1843 |
| | - Train Accuracy: 1.0 |
| | - Epoch: 11 |
| | |
| | ## 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': 80, '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 | |
| | |:----------:|:---------------:|:--------------:|:-----:| |
| | | 0.6745 | 0.6418 | 0.6692 | 0 | |
| | | 0.6265 | 0.6085 | 0.6692 | 1 | |
| | | 0.6114 | 0.5811 | 0.6692 | 2 | |
| | | 0.5707 | 0.5465 | 0.6692 | 3 | |
| | | 0.5432 | 0.5032 | 0.6692 | 4 | |
| | | 0.4996 | 0.4534 | 0.6923 | 5 | |
| | | 0.4458 | 0.4010 | 0.8308 | 6 | |
| | | 0.3902 | 0.3462 | 0.8538 | 7 | |
| | | 0.3359 | 0.2963 | 0.9077 | 8 | |
| | | 0.3111 | 0.2598 | 0.9615 | 9 | |
| | | 0.2633 | 0.2147 | 0.9846 | 10 | |
| | | 0.2153 | 0.1843 | 1.0 | 11 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.1 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.13.3 |
| |
|
