Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vit-Facial-Expression-Recognition_checkpoints – AI Model by hamnabint | AlphaNeural AI
You can deploy this model and start earning money today!
hamnabint
/
vit-Facial-Expression-Recognition_checkpoints
like
0
transformers
safetensors
vit
image-classification
generated_from_trainer
imagefolder
mo-thecreator/vit-Facial-Expression-Recognition
finetune
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vit-Facial-Expression-Recognition_checkpoints
This model is a fine-tuned version of
motheecreator/vit-Facial-Expression-Recognition
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 1.1826
Accuracy: 0.5886
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.4533
2.2663
100
1.3534
0.4619
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cpu
Datasets 2.21.0
Tokenizers 0.19.1
