---
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: 0.7294
- Accuracy: 0.818

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.8009        | 1.0   | 63   | 0.9982          | 0.791    |
| 3.8041        | 2.0   | 126  | 0.7726          | 0.82     |
| 3.5834        | 2.96  | 186  | 0.7294          | 0.818    |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0