badokorach/bert-finetuned-210124

This model is a fine-tuned version of mrm8488/bert-small-finetuned-squadv2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.1458
• Validation Loss: 0.0
• Epoch: 13

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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1380, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.8157	0.0	0
2.4117	0.0	1
2.1810	0.0	2
1.9909	0.0	3
1.8301	0.0	4
1.6953	0.0	5
1.5453	0.0	6
1.4613	0.0	7
1.3860	0.0	8
1.2981	0.0	9
1.2431	0.0	10
1.2023	0.0	11
1.1627	0.0	12
1.1458	0.0	13

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0