Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vit-finetuned-chessman2 – AI Model by gvinay4362 | AlphaNeural AI
You can deploy this model and start earning money today!
gvinay4362
/
vit-finetuned-chessman2
like
0
transformers
safetensors
vit
image-classification
generated_from_trainer
imagefolder
trpakov/vit-face-expression
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vit-finetuned-chessman2
This model is a fine-tuned version of
trpakov/vit-face-expression
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.2361
Accuracy: 0.9591
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
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1287
1.0
110
0.1899
0.9455
0.0386
2.0
220
0.2242
0.95
0.0116
3.0
330
0.3516
0.9227
0.0113
4.0
440
0.2361
0.9591
Framework versions
Transformers 4.57.1
Pytorch 2.8.0
Datasets 4.4.1
Tokenizers 0.22.1
