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---
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: 0.0621
- Wer Score: 4.7174
## 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 | 1.48 | 20 | 7.3896 | 132.1522 |
| No log | 2.96 | 40 | 5.5234 | 1.1413 |
| No log | 4.44 | 60 | 3.7317 | 1.1196 |
| No log | 5.93 | 80 | 2.1477 | 1.1304 |
| No log | 7.41 | 100 | 0.9848 | 1.1087 |
| No log | 8.89 | 120 | 0.3860 | 1.1304 |
| No log | 10.37 | 140 | 0.1720 | 1.1087 |
| No log | 11.85 | 160 | 0.1022 | 1.1196 |
| No log | 13.33 | 180 | 0.0745 | 1.0543 |
| No log | 14.81 | 200 | 0.0665 | 2.9239 |
| No log | 16.3 | 220 | 0.0631 | 2.7174 |
| No log | 17.78 | 240 | 0.0622 | 2.5326 |
| No log | 19.26 | 260 | 0.0621 | 4.7174 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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