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output_dir-full_dataset – AI Model by gary2002 | AlphaNeural AI
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gary2002
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output_dir-full_dataset
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224-in21k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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output_dir-full_dataset
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2097
Accuracy: 0.9170
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: 0.0002
train_batch_size: 10
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.1689
1.0
2916
1.5921
0.3398
0.5282
2.0
5832
0.4584
0.8296
0.2224
3.0
8748
0.2097
0.9170
Framework versions
Transformers 4.39.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
