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hf_image_classification – AI Model by AkremGomri | AlphaNeural AI
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AkremGomri
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hf_image_classification
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transformers
safetensors
vit
image-classification
trackio
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endpoints_compatible
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hf_image_classification
This model is a fine-tuned version of
AkremGomri/my_awesome_food_model
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8116
Accuracy: 0.913
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.1734
1.0
63
1.1388
0.907
0.7969
2.0
126
0.8880
0.917
0.7487
3.0
189
0.8116
0.913
Framework versions
Transformers 5.1.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
