kasrahabib/roberta-base-finetuned-iso29148-km_propogated_f_nf_label_req

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

• Train Loss: 0.0005
• Validation Loss: 0.1105
• 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': 570, '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
0.3208	0.1991	0
0.0522	0.0558	1
0.0149	0.0464	2
0.0048	0.0724	3
0.0025	0.0917	4
0.0012	0.0990	5
0.0008	0.1027	6
0.0008	0.1036	7
0.0007	0.1098	8
0.0006	0.1089	9
0.0005	0.1093	10
0.0005	0.1098	11
0.0005	0.1102	12
0.0005	0.1105	13
0.0005	0.1105	14

Framework versions

• Transformers 4.40.1
• TensorFlow 2.15.0
• Datasets 2.19.1
• Tokenizers 0.19.1