badokorach/bert-finetuned-squad-7-2309
This model is a fine-tuned version of badokorach/bert-finetuned-squad-7 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1499
- Validation Loss: 0.0
- Epoch: 19
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': 2596, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 4, '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': 0.02}
- training_precision: mixed_float16
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
1.0115 | 0.0 | 0 |
0.2937 | 0.0 | 1 |
0.2292 | 0.0 | 2 |
0.1814 | 0.0 | 3 |
0.1772 | 0.0 | 4 |
0.1645 | 0.0 | 5 |
0.1652 | 0.0 | 6 |
0.1565 | 0.0 | 7 |
0.1613 | 0.0 | 8 |
0.1580 | 0.0 | 9 |
0.1706 | 0.0 | 10 |
0.1598 | 0.0 | 11 |
0.1595 | 0.0 | 12 |
0.1537 | 0.0 | 13 |
0.1544 | 0.0 | 14 |
0.1576 | 0.0 | 15 |
0.1552 | 0.0 | 16 |
0.1530 | 0.0 | 17 |
0.1554 | 0.0 | 18 |
0.1499 | 0.0 | 19 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
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