README.md

metadata

library_name: transformers
license: other
base_model: google/mobilenet_v2_1.0_224
tags:
  - image-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: finetuned-for-YogaPoses
    results: []

finetuned-for-YogaPoses

This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the indian_food_images dataset. It achieves the following results on the evaluation set:

• Loss: 0.2234
• Accuracy: 0.9463

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: 0.0002
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• 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
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2812	1.8868	100	0.1830	0.9329
0.1828	3.7736	200	0.2234	0.9463

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3