khadija69/mdebertaV3_BIES_stem_1K_2

This model is a fine-tuned version of khadija69/mdebertaV3_BIES_stem_1K on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.6204
• Train Accuracy: 0.6094
• Validation Loss: 0.8102
• Validation Accuracy: 0.5650
• 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
1.0334	0.5038	0.9077	0.5353	0
0.9228	0.5297	0.8442	0.5472	1
0.8189	0.5564	0.8132	0.5575	2
0.7352	0.5792	0.8003	0.5623	3
0.6657	0.5971	0.7976	0.5649	4
0.6204	0.6094	0.8102	0.5650	5

Framework versions

• Transformers 4.42.4
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1