metadata
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_keras_callback
model-index:
- name: khadija69/xlmRobertaLarge_BIES_stem_1K_1
results: []
khadija69/xlmRobertaLarge_BIES_stem_1K_1
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5357
- Train Accuracy: 0.6339
- Validation Loss: 0.8846
- Validation Accuracy: 0.5532
- Epoch: 5
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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 1.4567 | 0.3846 | 1.0687 | 0.4869 | 0 |
| 0.9865 | 0.5197 | 0.9333 | 0.5236 | 1 |
| 0.8271 | 0.5583 | 0.9226 | 0.5339 | 2 |
| 0.7063 | 0.5883 | 0.8838 | 0.5485 | 3 |
| 0.6115 | 0.6131 | 0.9036 | 0.5465 | 4 |
| 0.5357 | 0.6339 | 0.8846 | 0.5532 | 5 |
Framework versions
- Transformers 4.42.3
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1