---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: git-base-food
  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. -->

# git-base-food

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0444
- Wer Score: 10.0470

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.05  | 20   | 7.3069          | 113.3758  |
| No log        | 2.11  | 40   | 5.3566          | 3.2282    |
| No log        | 3.16  | 60   | 3.4409          | 1.1879    |
| No log        | 4.21  | 80   | 1.7218          | 1.1007    |
| No log        | 5.26  | 100  | 0.5834          | 1.0872    |
| No log        | 6.32  | 120  | 0.1684          | 1.3020    |
| No log        | 7.37  | 140  | 0.0720          | 2.9732    |
| No log        | 8.42  | 160  | 0.0507          | 2.0805    |
| No log        | 9.47  | 180  | 0.0467          | 3.0336    |
| No log        | 10.53 | 200  | 0.0415          | 10.6107   |
| No log        | 11.58 | 220  | 0.0425          | 7.7383    |
| No log        | 12.63 | 240  | 0.0426          | 14.1745   |
| No log        | 13.68 | 260  | 0.0434          | 6.0067    |
| No log        | 14.74 | 280  | 0.0447          | 10.5503   |
| No log        | 15.79 | 300  | 0.0434          | 9.1678    |
| No log        | 16.84 | 320  | 0.0439          | 10.8591   |
| No log        | 17.89 | 340  | 0.0446          | 10.0470   |
| No log        | 18.95 | 360  | 0.0444          | 10.1208   |
| No log        | 20.0  | 380  | 0.0444          | 10.0470   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1