| --- |
| library_name: transformers |
| license: mit |
| base_model: roberta-large |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: relationship_classifier_multi_retrained |
| 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. --> |
|
|
| # relationship_classifier_multi_retrained |
| |
| This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on a dataset from OYM 1:1 vs. 2:1 early literacy online tutoring. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.2570 |
| - Validation Loss: 0.3345 |
| - Train Accuracy: 0.8891 |
| - Epoch: 2 |
| |
| ## Model description |
| |
| This model is a retrained version of https://huggingface.co/StanfordSCALE/relationship_classifier_multi that corrects for overfitting in the previous model. |
| |
| ## Intended uses & limitations |
| |
| This model was trained on online literacy tutoring data for grades K-2. Generalization beyond this context is uncertain. |
| |
| ## 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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 454, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 50, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
| - training_precision: float32 |
| |
| ### Training results |
| |
| | Train Loss | Validation Loss | Train Accuracy | Epoch | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 0.8833 | 0.6258 | 0.7781 | 0 | |
| | 0.4531 | 0.3678 | 0.8713 | 1 | |
| | 0.2570 | 0.3345 | 0.8891 | 2 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - TensorFlow 2.19.0 |
| - Datasets 4.8.5 |
| - Tokenizers 0.21.4 |
| |
