kasrahabib/bert-base-uncased-finetuned-iso29148-sward-on-promise-km-labels-f-nf-cls

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

• Train Loss: 0.0007
• Validation Loss: 0.4911
• Epoch: 14

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': 123645, '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
0.2978	0.2325	0
0.1229	0.2169	1
0.0553	0.2788	2
0.0316	0.2800	3
0.0242	0.3846	4
0.0209	0.3235	5
0.0167	0.3007	6
0.0123	0.3158	7
0.0094	0.3515	8
0.0075	0.3811	9
0.0049	0.4298	10
0.0046	0.4142	11
0.0039	0.4363	12
0.0023	0.4756	13
0.0007	0.4911	14

Framework versions

• Transformers 4.42.3
• TensorFlow 2.15.0
• Datasets 2.19.1
• Tokenizers 0.19.1