| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: roberta-model-english |
| | 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. --> |
| |
|
| | # roberta-model-english |
| |
|
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.1140 |
| | - Train Accuracy: 0.9596 |
| | - Validation Loss: 0.2166 |
| | - Validation Accuracy: 0.9301 |
| | - Epoch: 2 |
| |
|
| | ## 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
| | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | | 0.2922 | 0.8804 | 0.2054 | 0.9162 | 0 | |
| | | 0.1710 | 0.9352 | 0.1879 | 0.9353 | 1 | |
| | | 0.1140 | 0.9596 | 0.2166 | 0.9301 | 2 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.16.2 |
| | - TensorFlow 2.7.0 |
| | - Tokenizers 0.11.0 |
| |
|
