This model is a fine-tuned version of moreover18/vit-part1-friends on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.7298
Accuracy: 0.7395

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1497	7.41	50	0.7298	0.7395

Framework versions

Transformers 4.37.1
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.15.1

lngrid2020/vit-part1-friends2

vit-part1-friends2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lngrid2020/
vit-part1-friends2