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MobileViT_Food_test_1

Image Classification
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Safetensors
mobilevit
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MobileViT_Food_test_1 / README.md
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metadata
library_name: transformers
license: other
base_model: apple/mobilevit-small
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: MobileViT_Food_test_1
    results: []

MobileViT_Food_test_1

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

  • Loss: 3.6788
  • Accuracy: 0.2746

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.8487 0.9994 1183 3.6788 0.2746

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.1