kasrahabib/roberta-base-finetuned-iso29148-km_propogated_f_nf_promise_benchmark_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: 0.0009
• Validation Loss: 0.0243
• 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': 510, '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
0.3626	0.1127	0
0.1016	0.0931	1
0.0398	0.0386	2
0.0228	0.0968	3
0.0575	0.0328	4
0.0111	0.0261	5
0.0050	0.0173	6
0.0020	0.0257	7
0.0013	0.0244	8
0.0012	0.0225	9
0.0009	0.0233	10
0.0009	0.0241	11
0.0008	0.0244	12
0.0008	0.0246	13
0.0009	0.0243	14

Framework versions

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