badokorach/mobilebert-uncased-finetuned-agic-060124

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.4106
• 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': 0.02, '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': 1e-05, 'decay_steps': 1160, 'end_learning_rate': 1e-07, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.4542	0.0	0
2.0632	0.0	1
1.8930	0.0	2
1.7858	0.0	3
1.6640	0.0	4
1.5885	0.0	5
1.5269	0.0	6
1.4618	0.0	7
1.4648	0.0	8
1.4106	0.0	9

Framework versions

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