badokorach/bert-finetuned-squad-1

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0002
• 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': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 45240, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Epoch
0.0036	0
0.0026	1
0.0008	2
0.0019	3
0.0004	4
0.0004	5
0.0004	6
0.0003	7
0.0002	8
0.0001	9
0.0001	10
0.0001	11
0.0002	12
0.0001	13
0.0001	14
0.0004	15
0.0002	16
0.0001	17
0.0002	18
0.0002	19

Framework versions

• Transformers 4.31.0
• TensorFlow 2.13.0
• Datasets 2.14.4
• Tokenizers 0.13.3