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UL_exterior_classification – AI Model by sharmajai901 | AlphaNeural AI
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sharmajai901
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UL_exterior_classification
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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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UL_exterior_classification
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: 0.6992
Accuracy: 0.6897
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: 7
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.8
2
1.2708
0.2184
No log
2.0
5
0.8931
0.5977
No log
2.8
7
0.7973
0.6437
0.9888
4.0
10
0.6992
0.6897
0.9888
4.8
12
0.6687
0.6897
0.9888
5.6
14
0.6566
0.6897
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
