khadija69/debertav3_ASE_clb_ACCURACY

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

• Train Loss: 0.1659
• Train Accuracy: 0.6823
• Validation Loss: 0.2716
• Validation Accuracy: 0.6579
• 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': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2400, '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
0.2746	0.6594	0.2608	0.6587	0
0.2321	0.6598	0.2584	0.6612	1
0.2117	0.6672	0.2813	0.6469	2
0.1953	0.6742	0.2601	0.6633	3
0.1831	0.6855	0.2680	0.6596	4
0.1659	0.6823	0.2716	0.6579	5

Framework versions

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