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

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5227
- Wer Score: 2.4121

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 3.6336        | 5.0   | 50   | 4.6676          | 1.2862    |
| 1.318         | 10.0  | 100  | 0.9472          | 0.9491    |
| 0.2607        | 15.0  | 150  | 0.4883          | 0.9379    |
| 0.1207        | 20.0  | 200  | 0.4908          | 0.9526    |
| 0.075         | 25.0  | 250  | 0.4996          | 1.2448    |
| 0.0458        | 30.0  | 300  | 0.5111          | 1.3698    |
| 0.0336        | 35.0  | 350  | 0.5164          | 2.1043    |
| 0.0272        | 40.0  | 400  | 0.5194          | 1.2397    |
| 0.0238        | 45.0  | 450  | 0.5231          | 2.6802    |
| 0.0216        | 50.0  | 500  | 0.5227          | 2.4121    |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2