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mobilevit-x-small-finetuned-lora-food101 – AI Model by Saeid | AlphaNeural AI
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Saeid
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mobilevit-x-small-finetuned-lora-food101
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peft
tensorboard
safetensors
generated_from_trainer
apple/mobilevit-x-small
adapter
other
us
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mobilevit-x-small-finetuned-lora-food101
This model is a fine-tuned version of
apple/mobilevit-x-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7816
Accuracy: 0.786
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: 0.005
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
9
3.5011
0.664
4.1269
2.0
18
2.0028
0.622
2.5648
3.0
27
1.0927
0.744
1.411
4.0
36
0.8316
0.788
0.9802
5.0
45
0.7816
0.786
Framework versions
PEFT 0.11.2.dev0
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
