betteib/mlm-tn-v2-7ep

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: 8.1140
• Train Accuracy: 0.0049
• Validation Loss: 8.1063
• Validation Accuracy: 0.0046
• Epoch: 6

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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 118, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 6, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
8.1066	0.0049	8.1434	0.0044	0
8.1105	0.0048	8.1242	0.0045	1
8.1123	0.0048	8.1227	0.0045	2
8.1128	0.0049	8.0994	0.0048	3
8.1190	0.0048	8.1180	0.0046	4
8.1079	0.0049	8.1067	0.0046	5
8.1140	0.0049	8.1063	0.0046	6

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Datasets 2.19.1
• Tokenizers 0.13.3