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trainer-rare-puppers – AI Model by nateraw | AlphaNeural AI
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trainer-rare-puppers
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transformers
pytorch
tensorboard
vit
image-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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trainer-rare-puppers
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the huggingpics 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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
48
0.4087
0.8806
Framework versions
Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
