| --- |
| license: mit |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: Aliissa99/test2 |
| 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. --> |
|
|
| # Aliissa99/test2 |
|
|
| This model is a fine-tuned version of [almanach/camembert-bio-base](https://huggingface.co/almanach/camembert-bio-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 1.6030 |
| - Validation Loss: 1.3863 |
| - Train Accuracy: 0.1707 |
| - 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': 0.01, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| - training_precision: float32 |
| |
| ### Training results |
| |
| | Train Loss | Validation Loss | Train Accuracy | Epoch | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 1.5039 | 1.3863 | 0.2195 | 0 | |
| | 1.5840 | 1.3863 | 0.2622 | 1 | |
| | 1.6272 | 1.3863 | 0.2195 | 2 | |
| | 1.6190 | 1.3863 | 0.2073 | 3 | |
| | 1.5786 | 1.3863 | 0.2439 | 4 | |
| | 1.6480 | 1.3863 | 0.2561 | 5 | |
| | 1.5920 | 1.3863 | 0.2012 | 6 | |
| | 1.6015 | 1.3863 | 0.2073 | 7 | |
| | 1.6395 | 1.3863 | 0.2317 | 8 | |
| | 1.6264 | 1.3863 | 0.2317 | 9 | |
| | 1.5692 | 1.3863 | 0.2683 | 10 | |
| | 1.6030 | 1.3863 | 0.1707 | 11 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.30.2 |
| - TensorFlow 2.12.0 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
| |
