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AdityasArsenal/
finetuned-for-YogaPosesv6

Name: finetuned-for-YogaPosesv6
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

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finetuned-for-YogaPosesv6

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

Loss: 0.0562
Accuracy: 0.9938

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:

learning_rate: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9954	0.8772	100	0.8301	0.8505
0.3505	1.7544	200	0.1881	0.9907
0.1524	2.6316	300	0.0901	0.9844
0.152	3.5088	400	0.1241	0.9688
0.1314	4.3860	500	0.0562	0.9938
0.1187	5.2632	600	0.1232	0.9720
0.0936	6.1404	700	0.0893	0.9688
0.0753	7.0175	800	0.1510	0.9626
0.0155	7.8947	900	0.0536	0.9907
0.0181	8.7719	1000	0.0515	0.9907
0.0037	9.6491	1100	0.0570	0.9907
0.0121	10.5263	1200	0.0570	0.9907
0.0065	11.4035	1300	0.0565	0.9907

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

AdityasArsenal/finetuned-for-YogaPosesv6

finetuned-for-YogaPosesv6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AdityasArsenal/
finetuned-for-YogaPosesv6