kasrahabib/classifier-nfsubclassess-requirements-80-percentile-roberta-base

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: 0.0063
• Validation Loss: 0.9573
• 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': 22245, '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
1.0053	0.6788	0
0.5000	0.6237	1
0.3013	0.6495	2
0.1908	0.7377	3
0.1247	0.7105	4
0.1091	0.7384	5
0.0672	0.7726	6
0.0460	0.8829	7
0.0388	0.8510	8
0.0304	0.8787	9
0.0228	0.8993	10
0.0153	0.9179	11
0.0066	0.9420	12
0.0064	0.9651	13
0.0063	0.9573	14

Framework versions

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