Ayca11
/

test_modal

Image Classification

Generated from Trainer

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test_modal

This model is a fine-tuned version of motheecreator/vit-Facial-Expression-Recognition on an unknown dataset.

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: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 800
training_steps: 20

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Tokenizers 0.21.1

Downloads last month: 23

Safetensors

Model size

85.8M params

Tensor type

F32

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