<!-- 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. -->
vnktrmnb/bert-base-multilingual-cased-FT-TyDiQA-GoldP_BL-FT-TyDiQA-GoldP_BL_AUGQ
This model is a fine-tuned version of vnktrmnb/bert-base-multilingual-cased-FT-TyDiQA-GoldP_BL on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1755
- Train End Logits Accuracy: 0.9419
- Train Start Logits Accuracy: 0.9544
- Validation Loss: 0.5100
- Validation End Logits Accuracy: 0.8660
- Validation Start Logits Accuracy: 0.9149
- 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', '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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2439, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.5618 | 0.8287 | 0.8687 | 0.4568 | 0.8673 | 0.9124 | 0 |
| 0.3005 | 0.9014 | 0.9265 | 0.5015 | 0.8647 | 0.9046 | 1 |
| 0.1755 | 0.9419 | 0.9544 | 0.5100 | 0.8660 | 0.9149 | 2 |
Framework versions
- Transformers 4.32.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
