khadija69/debertav3_ASE_kgl_BIES2

This model is a fine-tuned version of microsoft/mdeberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.6418
• Train Accuracy: 0.6024
• Validation Loss: 0.7774
• Validation Accuracy: 0.5724
• 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 4000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, '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
1.1865	0.4781	0.9186	0.5364	0
0.8841	0.5450	0.8210	0.5555	1
0.7972	0.5688	0.7997	0.5624	2
0.7395	0.5818	0.7777	0.5682	3
0.7011	0.5931	0.7836	0.5708	4
0.6760	0.5998	0.7845	0.5696	5
0.6418	0.6024	0.7774	0.5724	6

Framework versions

• Transformers 4.41.2
• TensorFlow 2.15.0
• Datasets 2.19.2
• Tokenizers 0.19.1