| --- |
| license: apache-2.0 |
| base_model: facebook/bart-base |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: vladjr/bart-base-teste2 |
| 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. --> |
|
|
| # vladjr/bart-base-teste2 |
|
|
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0075 |
| - Validation Loss: 0.0129 |
| - 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 6720, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
| - training_precision: mixed_float16 |
| |
| ### Training results |
| |
| | Train Loss | Validation Loss | Epoch | |
| |:----------:|:---------------:|:-----:| |
| | 0.2407 | 0.0360 | 0 | |
| | 0.0457 | 0.0178 | 1 | |
| | 0.0320 | 0.0169 | 2 | |
| | 0.0206 | 0.0133 | 3 | |
| | 0.0157 | 0.0250 | 4 | |
| | 0.0136 | 0.0165 | 5 | |
| | 0.0112 | 0.0169 | 6 | |
| | 0.0075 | 0.0129 | 7 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.34.0 |
| - TensorFlow 2.13.0 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
| |
