khadija69/debertav3_ASE_BIES_layers

This model is a fine-tuned version of khadija69/debertav3_ASE_BIES on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.5113
• Train Accuracy: 0.4823
• Validation Loss: 0.7255
• Validation Accuracy: 0.4270
• 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': 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
0.8006	0.4166	0.7460	0.4132	0
0.7408	0.4271	0.7260	0.4169	1
0.7017	0.4303	0.7234	0.4199	2
0.6194	0.4562	0.7197	0.4236	3
0.5518	0.4768	0.7075	0.4243	4
0.5113	0.4823	0.7255	0.4270	5

Framework versions

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