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imagenet-tiger – AI Model by tigeryi | AlphaNeural AI
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tigeryi
/
imagenet-tiger
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transformers
tensorboard
safetensors
data2vec-vision
image-classification
generated_from_trainer
tigeryi/imagenet1k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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imagenet-tiger
This model is a fine-tuned version of
tigeryi/imagenet1k
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6595
Accuracy: 0.8254
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0771
1.0
1250
0.7663
0.7971
0.8206
2.0
2500
0.6772
0.8207
0.7212
3.0
3750
0.6595
0.8254
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
