khadija69/xlmRobertaLarge_BIES_stem_1K_5

This model is a fine-tuned version of khadija69/xlmRobertaLarge_BIES_stem_1K_4 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.2523
• Train Accuracy: 0.6422
• Validation Loss: 0.8771
• Validation Accuracy: 0.5658
• 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
0.7968	0.5139	0.7148	0.5549	0
0.7021	0.5252	0.7208	0.5592	1
0.5547	0.5602	0.7998	0.5531	2
0.4235	0.6001	0.8239	0.5628	3
0.3137	0.6255	0.8664	0.5627	4
0.2523	0.6422	0.8771	0.5658	5

Framework versions

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