---
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: 0.0068
- Wer Score: 31.5402

## 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        | 1.21  | 20   | 0.0096          | 46.8391   |
| No log        | 2.42  | 40   | 0.0088          | 30.3793   |
| No log        | 3.64  | 60   | 0.0071          | 29.5632   |
| No log        | 4.85  | 80   | 0.0065          | 34.3793   |
| No log        | 6.06  | 100  | 0.0067          | 32.4138   |
| No log        | 7.27  | 120  | 0.0072          | 32.4713   |
| No log        | 8.48  | 140  | 0.0066          | 28.5977   |
| No log        | 9.7   | 160  | 0.0068          | 27.2529   |
| No log        | 10.91 | 180  | 0.0063          | 25.2414   |
| No log        | 12.12 | 200  | 0.0061          | 35.0575   |
| No log        | 13.33 | 220  | 0.0065          | 29.9770   |
| No log        | 14.55 | 240  | 0.0068          | 31.1609   |
| No log        | 15.76 | 260  | 0.0067          | 28.7356   |
| No log        | 16.97 | 280  | 0.0068          | 30.9310   |
| No log        | 18.18 | 300  | 0.0068          | 31.4943   |
| No log        | 19.39 | 320  | 0.0068          | 31.5402   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1