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

Loss: 0.0701
Accuracy: 0.9774

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1442	3.85	500	0.0701	0.9774

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

machves/Clasificacion-vit-model-manuel-chaves

Clasificacion-vit-model-manuel-chaves

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

machves/
Clasificacion-vit-model-manuel-chaves