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

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: 0.5035
- Wer Score: 6.7310

## 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 |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| 3.6106        | 3.128  | 50   | 4.5591          | 9.3966    |
| 1.2545        | 6.256  | 100  | 0.8047          | 3.2328    |
| 0.2342        | 9.384  | 150  | 0.4631          | 0.9336    |
| 0.1497        | 12.512 | 200  | 0.4565          | 1.2560    |
| 0.106         | 15.64  | 250  | 0.4637          | 2.1828    |
| 0.0813        | 18.768 | 300  | 0.4687          | 2.2207    |
| 0.0612        | 21.896 | 350  | 0.4750          | 6.5422    |
| 0.0536        | 25.0   | 400  | 0.4805          | 6.7198    |
| 0.0426        | 28.128 | 450  | 0.4867          | 2.6293    |
| 0.0361        | 31.256 | 500  | 0.4890          | 7.3362    |
| 0.031         | 34.384 | 550  | 0.4939          | 7.0353    |
| 0.0267        | 37.512 | 600  | 0.5003          | 2.7284    |
| 0.0241        | 40.64  | 650  | 0.5009          | 6.9310    |
| 0.0227        | 43.768 | 700  | 0.5015          | 6.9078    |
| 0.021         | 46.896 | 750  | 0.5036          | 6.7776    |
| 0.0203        | 50.0   | 800  | 0.5035          | 6.7310    |


### Framework versions

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