anum231/class2_v1

This model is a fine-tuned version of anum231/class2_v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.4768
• Validation Loss: 0.3740
• Train Accuracy: 0.8966
• Epoch: 9

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': 3e-05, 'decay_steps': 1160, '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	Validation Loss	Train Accuracy	Epoch
0.9471	0.7465	0.4828	0
0.7152	0.6636	0.5862	1
0.6634	0.6322	0.6207	2
0.6447	0.5829	0.6897	3
0.6256	0.5359	0.7586	4
0.6044	0.4895	0.8621	5
0.5432	0.4623	0.8966	6
0.5232	0.4666	0.8621	7
0.5435	0.4061	0.8966	8
0.4768	0.3740	0.8966	9

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.1