| | --- |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: distilbert_complete |
| | 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. --> |
| |
|
| | # distilbert_complete |
| | |
| | This model was trained from scratch on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.9232 |
| | - Validation Loss: 0.9128 |
| | - Epoch: 12 |
| | |
| | ## 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
| | - training_precision: float32 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Validation Loss | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 0.9319 | 0.9178 | 0 | |
| | | 0.9310 | 0.9167 | 1 | |
| | | 0.9301 | 0.9170 | 2 | |
| | | 0.9300 | 0.9161 | 3 | |
| | | 0.9295 | 0.9157 | 4 | |
| | | 0.9294 | 0.9153 | 5 | |
| | | 0.9274 | 0.9122 | 6 | |
| | | 0.9267 | 0.9139 | 7 | |
| | | 0.9261 | 0.9139 | 8 | |
| | | 0.9257 | 0.9120 | 9 | |
| | | 0.9247 | 0.9145 | 10 | |
| | | 0.9236 | 0.9131 | 11 | |
| | | 0.9232 | 0.9128 | 12 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.20.1 |
| | - TensorFlow 2.8.2 |
| | - Datasets 2.3.2 |
| | - Tokenizers 0.12.1 |
| | |
