khadija69/xlmRobertaLarge_BIES_stem_1K_7

This model is a fine-tuned version of khadija69/xlmRobertaLarge_BIES_stem_1K_6 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.4126
• Train Accuracy: 0.5175
• Validation Loss: 1.2706
• Validation Accuracy: 0.4092
• Epoch: 5

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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
1.0666	0.3999	0.9871	0.4106	0
0.9268	0.4151	1.0240	0.4177	1
0.7576	0.4473	1.1000	0.4124	2
0.6000	0.4774	1.1852	0.4155	3
0.4943	0.4990	1.2551	0.4093	4
0.4126	0.5175	1.2706	0.4092	5

Framework versions

• Transformers 4.42.3
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1