kasrahabib/bert-base-uncased-finetuned-iso29148-sward-on-promise-km-labels-nf-subclasses-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: 1.0381
• 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': 123615, '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
0.7510	0.5526	0
0.3329	0.5541	1
0.1715	0.6226	2
0.1029	0.6412	3
0.0699	0.7550	4
0.0500	0.7140	5
0.0372	0.7635	6
0.0250	0.8047	7
0.0205	0.8339	8
0.0126	0.8673	9
0.0096	0.9238	10
0.0068	0.9350	11
0.0029	1.0098	12
0.0016	1.0402	13
0.0007	1.0381	14

Framework versions

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