anum231/cancer_classifier_100

This model is a fine-tuned version of anum231/cancer_classifier_100 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.5354
• Validation Loss: 0.8077
• Train Accuracy: 0.6724
• Epoch: 22

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': 4640, '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
1.0644	0.9210	0.5690	0
0.8927	0.8785	0.5345	1
0.8065	0.9131	0.6379	2
0.7085	0.7569	0.7241	3
0.7407	0.7963	0.6897	4
0.6635	0.8031	0.6897	5
0.7505	0.8074	0.6552	6
0.6149	0.8540	0.6379	7
0.6530	0.7823	0.6379	8
0.5969	0.8384	0.6552	9
0.6808	0.7863	0.6552	10
0.6269	0.8650	0.6552	11
0.5665	0.7941	0.6897	12
0.6414	0.8927	0.6552	13
0.7304	0.9703	0.6034	14
0.5518	0.9204	0.6552	15
0.6184	0.8850	0.6897	16
0.6397	0.8827	0.6724	17
0.5697	0.8658	0.6207	18
0.6103	0.8177	0.6379	19
0.5541	0.8526	0.6552	20
0.5831	0.8632	0.6379	21
0.5354	0.8077	0.6724	22

Framework versions

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