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vit-msn-small-wbc-blur-detector – AI Model by Melo1512 | AlphaNeural AI
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Melo1512
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vit-msn-small-wbc-blur-detector
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transformers
tensorboard
safetensors
vit_msn
image-classification
generated_from_trainer
imagefolder
facebook/vit-msn-small
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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vit-msn-small-wbc-blur-detector
This model is a fine-tuned version of
facebook/vit-msn-small
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.2045
Accuracy: 0.9251
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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3471
1.0
208
0.2960
0.8940
0.3113
2.0
416
0.2551
0.9088
0.3104
3.0
624
0.2106
0.9212
0.2855
4.0
832
0.2101
0.9221
0.2497
5.0
1040
0.2045
0.9251
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
