---
library_name: transformers
license: apache-2.0
base_model: timm/mobilenetv4_conv_small.e2400_r224_in1k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_food_model
  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. -->

# my_awesome_food_model

This model is a fine-tuned version of [timm/mobilenetv4_conv_small.e2400_r224_in1k](https://huggingface.co./timm/mobilenetv4_conv_small.e2400_r224_in1k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5888
- Accuracy: 0.825

## 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 250  | 0.9502          | 0.767    |
| 1.8035        | 2.0   | 500  | 0.6483          | 0.814    |
| 1.8035        | 3.0   | 750  | 0.5888          | 0.825    |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.0+cu118
- Datasets 2.21.0
- Tokenizers 0.21.0