khadija69/xlmRobertaLarge_BIES_stem_1K_6

This model is a fine-tuned version of khadija69/xlmRobertaLarge_BIES_stem_1K_5 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.3959
• Train Accuracy: 0.5142
• Validation Loss: 1.2647
• Validation Accuracy: 0.3851
• 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
1.1204	0.3638	1.0926	0.3673	0
0.9537	0.3824	1.1073	0.3781	1
0.7876	0.4205	1.1541	0.3775	2
0.6005	0.4587	1.2397	0.3715	3
0.4853	0.4909	1.2672	0.3869	4
0.3959	0.5142	1.2647	0.3851	5

Framework versions

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