---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# finetuned-for-YogaPoses

This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co./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