---
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-clothes
  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-clothes

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2143
- Wer Score: 2.4047

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 7.1475        | 3.5714  | 50   | 4.4300          | 0.8516    |
| 2.384         | 7.1429  | 100  | 0.6209          | 0.7782    |
| 0.3154        | 10.7143 | 150  | 0.2059          | 2.0570    |
| 0.1406        | 14.2857 | 200  | 0.1841          | 2.6379    |
| 0.0927        | 17.8571 | 250  | 0.1831          | 2.5492    |
| 0.062         | 21.4286 | 300  | 0.1891          | 2.6554    |
| 0.0423        | 25.0    | 350  | 0.1938          | 2.5195    |
| 0.0292        | 28.5714 | 400  | 0.1996          | 2.5295    |
| 0.0214        | 32.1429 | 450  | 0.2034          | 2.4541    |
| 0.0169        | 35.7143 | 500  | 0.2082          | 2.5956    |
| 0.0139        | 39.2857 | 550  | 0.2105          | 2.2852    |
| 0.0119        | 42.8571 | 600  | 0.2129          | 2.4300    |
| 0.0106        | 46.4286 | 650  | 0.2138          | 2.4355    |
| 0.01          | 50.0    | 700  | 0.2143          | 2.4047    |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0