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imagenet1k – AI Model by tigeryi | AlphaNeural AI

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tigeryi/
imagenet1k

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data2vec-vision

image-classification

generated_from_trainer

tigeryi/imagenet1k

autotrain_compatible

endpoints_compatible

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imagenet1k

This model is a fine-tuned version of tigeryi/imagenet1k on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.0022
eval_accuracy: 0.7605
eval_runtime: 1004.8381
eval_samples_per_second: 49.759
eval_steps_per_second: 1.555
step: 0

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: 1
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1