You can deploy this model and start earning money today!

fahmindra/
activity_classification

Name: activity_classification
Rating: 2.5 (8 reviews)

generated_from_trainer

google/vit-base-patch16-224-in21k

Views

No views yet

activity_classification

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:

Loss: 0.7087
Accuracy: 0.8012

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7167	1.0	157	1.6188	0.6964
1.0511	2.0	315	1.0981	0.7381
0.9184	3.0	472	0.9225	0.7710
0.7396	4.0	630	0.8333	0.7802
0.6873	5.0	787	0.7917	0.7849
0.6579	6.0	945	0.7510	0.7845
0.5857	7.0	1102	0.7672	0.7845
0.4968	8.0	1260	0.7467	0.7857
0.513	9.0	1417	0.7156	0.7940
0.4957	9.97	1570	0.7073	0.8024

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

fahmindra/activity_classification

activity_classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fahmindra/
activity_classification