---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-naruto
  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-naruto

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: 0.0400
- Wer Score: 0.3529

## 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: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 7.3756        | 5.8824  | 50   | 4.6183          | 7.9118    |
| 2.5329        | 11.7647 | 100  | 0.6340          | 7.0       |
| 0.199         | 17.6471 | 150  | 0.0438          | 0.7941    |
| 0.0155        | 23.5294 | 200  | 0.0390          | 0.8529    |
| 0.0051        | 29.4118 | 250  | 0.0385          | 0.3529    |
| 0.0025        | 35.2941 | 300  | 0.0392          | 0.3235    |
| 0.0018        | 41.1765 | 350  | 0.0397          | 0.3529    |
| 0.0016        | 47.0588 | 400  | 0.0400          | 0.3529    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1