khadija69/debertav3_ASE_BIES_layers_2

This model is a fine-tuned version of khadija69/debertav3_ASE_BIES_layers on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.5792
• Train Accuracy: 0.4660
• Validation Loss: 0.7023
• Validation Accuracy: 0.4345
• Epoch: 8

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': 1e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 700, '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
0.7123	0.4460	0.7169	0.4314	0
0.6868	0.4471	0.7123	0.4318	1
0.6678	0.4575	0.7254	0.4317	2
0.6256	0.4637	0.7084	0.4344	3
0.5995	0.4694	0.7210	0.4309	4
0.5869	0.4694	0.7023	0.4345	5
0.5860	0.4699	0.7023	0.4345	6
0.5825	0.4711	0.7023	0.4345	7
0.5792	0.4660	0.7023	0.4345	8

Framework versions

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