Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013-7e-05-16 – AI Model by Celal11 | AlphaNeural AI
You can deploy this model and start earning money today!
Celal11
/
beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013-7e-05-16
like
0
transformers
pytorch
tensorboard
beit
image-classification
generated_from_trainer
image_folder
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013-7e-05-16
This model is a fine-tuned version of
Celal11/beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013CKPlus-7e-05
on the image_folder dataset. It achieves the following results on the evaluation set:
Loss: 0.8185
Accuracy: 0.7154
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: 7e-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7923
1.0
224
0.8570
0.7009
0.6737
2.0
448
0.8185
0.7154
Framework versions
Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
