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vit-base-patch16-224-finetuned-cedar – AI Model by kg59 | AlphaNeural AI
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kg59
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vit-base-patch16-224-finetuned-cedar
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
imagefolder
google/vit-base-patch16-224
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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vit-base-patch16-224-finetuned-cedar
This model is a fine-tuned version of
google/vit-base-patch16-224
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.4667
Accuracy: 0.7883
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5419
1.0
54
0.5085
0.7657
0.4541
2.0
108
0.4667
0.7883
0.3847
3.0
162
0.5603
0.7320
0.3669
4.0
216
0.4869
0.7749
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0
