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DownwardSpiral33/
hands_palms_classifier_rot05

Name: hands_palms_classifier_rot05
Availability: InStock

transformers

vit

image-classification

generated_from_keras_callback

google/vit-base-patch16-224-in21k

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DownwardSpiral33/hands_palms_classifier_rot05

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.2725
Validation Loss: 0.7215
Train Accuracy: 0.6452
Epoch: 49

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 17400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.6940	0.6722	0.6452	0
0.6734	0.6654	0.6774	1
0.6634	0.6553	0.6129	2
0.6528	0.6480	0.6452	3
0.6427	0.6381	0.6774	4
0.6414	0.6328	0.6452	5
0.6316	0.6175	0.6452	6
0.6188	0.6099	0.6452	7
0.6070	0.6181	0.6774	8
0.5993	0.5951	0.7097	9
0.5909	0.5870	0.6774	10
0.5660	0.5902	0.6452	11
0.5515	0.5760	0.7097	12
0.5467	0.5913	0.6452	13
0.5643	0.5774	0.6774	14
0.5357	0.5886	0.6452	15
0.5540	0.6036	0.5806	16
0.5341	0.6159	0.6452	17
0.5152	0.6196	0.6129	18
0.4888	0.6006	0.6774	19
0.4875	0.6258	0.6129	20
0.4867	0.6067	0.6452	21
0.4704	0.6103	0.6774	22
0.4622	0.6003	0.6452	23
0.4543	0.5887	0.7097	24
0.4429	0.6178	0.6452	25
0.4749	0.6121	0.6129	26
0.4563	0.6078	0.6774	27
0.4575	0.5907	0.6452	28
0.3904	0.6065	0.6129	29
0.3995	0.5764	0.6774	30
0.3812	0.6734	0.6774	31
0.3856	0.6401	0.6452	32
0.3836	0.5864	0.7097	33
0.3492	0.7021	0.6774	34
0.3552	0.6631	0.6129	35
0.3563	0.6562	0.6129	36
0.3509	0.6478	0.6452	37
0.3295	0.6542	0.6774	38
0.3410	0.7032	0.6774	39
0.3667	0.6745	0.6452	40
0.3150	0.6722	0.6452	41
0.2850	0.7127	0.6774	42
0.2870	0.6772	0.6774	43
0.2771	0.6791	0.6452	44
0.2870	0.7545	0.6129	45
0.2455	0.6546	0.7097	46
0.2586	0.6806	0.6774	47
0.2624	0.7524	0.7097	48
0.2725	0.7215	0.6452	49

Framework versions

Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.15.0
Tokenizers 0.15.0