metadata
license: cc-by-4.0
base_model: deepset/electra-base-squad2
tags:
- generated_from_keras_callback
model-index:
- name: Kiran2004/Electra_QCA_Squad
results: []
Kiran2004/Electra_QCA_Squad
This model is a fine-tuned version of deepset/electra-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0515
- Validation Loss: 0.1711
- Epoch: 9
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
0.3443 | 0.2038 | 0 |
0.2506 | 0.1911 | 1 |
0.1457 | 0.1931 | 2 |
0.1177 | 0.1815 | 3 |
0.1026 | 0.1794 | 4 |
0.0772 | 0.1669 | 5 |
0.0716 | 0.1754 | 6 |
0.0601 | 0.1712 | 7 |
0.0484 | 0.1721 | 8 |
0.0515 | 0.1711 | 9 |
Framework versions
- Transformers 4.40.0
- TensorFlow 2.15.0
- Datasets 2.19.0
- Tokenizers 0.19.1