badokorach/bert-base-cased-squad2-agic2-060124

This model is a fine-tuned version of badokorach/bert-base-cased-squad2-agic2-051223 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1138
• Validation Loss: 0.0
• 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': None, 'class_name': 'CustomLearningRateScheduler', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1044, 'warmup_steps': 116, 'end_learning_rate': 1e-05}, 'registered_name': 'CustomLearningRateScheduler'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
0.7839	0.0	0
0.6859	0.0	1
0.4749	0.0	2
0.3586	0.0	3
0.3039	0.0	4
0.2084	0.0	5
0.1471	0.0	6
0.1420	0.0	7
0.1221	0.0	8
0.1138	0.0	9

Framework versions

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