You can deploy this model and start earning money today!

Kibalama/
Digit_classification_model

Name: Digit_classification_model
Rating: 2.5 (8 reviews)

generated_from_trainer

google/vit-base-patch16-224-in21k

Views

No views yet

Digit_classification_model

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: 0.2617
Accuracy: 0.9129

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: Use OptimizerNames.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_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.366	1.0	938	0.3591	0.8902
0.3217	2.0	1876	0.2900	0.9049
0.2598	3.0	2814	0.2617	0.9129

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2

Kibalama/Digit_classification_model

Digit_classification_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kibalama/
Digit_classification_model