| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: MariaDB20ALBERT_Unbalance |
| | 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. --> |
| |
|
| | # MariaDB20ALBERT_Unbalance |
| | |
| | This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.0754 |
| | - Train Accuracy: 0.9808 |
| | - Validation Loss: 0.1763 |
| | - Validation Accuracy: 0.9548 |
| | - Epoch: 7 |
| | |
| | ## 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': 0.001, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
| | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | | 0.2348 | 0.9356 | 0.1533 | 0.9698 | 0 | |
| | | 0.2017 | 0.9364 | 0.1380 | 0.9698 | 1 | |
| | | 0.1968 | 0.9372 | 0.1435 | 0.9698 | 2 | |
| | | 0.1729 | 0.9372 | 0.1365 | 0.9673 | 3 | |
| | | 0.1448 | 0.9490 | 0.1350 | 0.9673 | 4 | |
| | | 0.1314 | 0.9523 | 0.1401 | 0.9648 | 5 | |
| | | 0.1095 | 0.9690 | 0.1530 | 0.9673 | 6 | |
| | | 0.0754 | 0.9808 | 0.1763 | 0.9548 | 7 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.29.2 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| |
|
