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my_awesome_food_model – AI Model by qubvel-hf | AlphaNeural AI
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qubvel-hf
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my_awesome_food_model
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transformers
tensorboard
safetensors
timm_wrapper
image-classification
generated_from_trainer
timm/mobilenetv4_conv_small.e2400_r224_in1k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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my_awesome_food_model
This model is a fine-tuned version of
timm/mobilenetv4_conv_small.e2400_r224_in1k
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7294
Accuracy: 0.818
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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
4.8009
1.0
63
0.9982
0.791
3.8041
2.0
126
0.7726
0.82
3.5834
2.96
186
0.7294
0.818
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
