---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: GIT-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-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: 0.0774
- Wer Score: 16.0923

## 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: 1
- eval_batch_size: 1
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 7.4722        | 0.93  | 50   | 4.5072          | 21.6154   |
| 2.1729        | 1.85  | 100  | 0.3006          | 0.5077    |
| 0.0896        | 2.78  | 150  | 0.0626          | 0.6154    |
| 0.0296        | 3.7   | 200  | 0.0647          | 21.7538   |
| 0.0228        | 4.63  | 250  | 0.0599          | 21.7077   |
| 0.0169        | 5.56  | 300  | 0.0627          | 3.5846    |
| 0.0162        | 6.48  | 350  | 0.0611          | 17.0769   |
| 0.0147        | 7.41  | 400  | 0.0649          | 21.6769   |
| 0.0131        | 8.33  | 450  | 0.0631          | 15.0154   |
| 0.0119        | 9.26  | 500  | 0.0668          | 19.3231   |
| 0.0117        | 10.19 | 550  | 0.0645          | 20.3231   |
| 0.0106        | 11.11 | 600  | 0.0631          | 21.6308   |
| 0.0099        | 12.04 | 650  | 0.0655          | 17.6923   |
| 0.0098        | 12.96 | 700  | 0.0662          | 18.0615   |
| 0.0092        | 13.89 | 750  | 0.0656          | 18.1385   |
| 0.0089        | 14.81 | 800  | 0.0658          | 21.6615   |
| 0.0086        | 15.74 | 850  | 0.0677          | 20.4      |
| 0.0079        | 16.67 | 900  | 0.0684          | 21.6462   |
| 0.0085        | 17.59 | 950  | 0.0701          | 21.6615   |
| 0.0089        | 18.52 | 1000 | 0.0716          | 16.8923   |
| 0.0083        | 19.44 | 1050 | 0.0685          | 21.6769   |
| 0.0079        | 20.37 | 1100 | 0.0665          | 21.7077   |
| 0.0075        | 21.3  | 1150 | 0.0685          | 19.5231   |
| 0.0078        | 22.22 | 1200 | 0.0669          | 20.7385   |
| 0.0078        | 23.15 | 1250 | 0.0677          | 18.6923   |
| 0.007         | 24.07 | 1300 | 0.0698          | 19.7231   |
| 0.008         | 25.0  | 1350 | 0.0682          | 20.4769   |
| 0.0073        | 25.93 | 1400 | 0.0705          | 19.3231   |
| 0.008         | 26.85 | 1450 | 0.0738          | 21.6615   |
| 0.0071        | 27.78 | 1500 | 0.0722          | 19.9231   |
| 0.0064        | 28.7  | 1550 | 0.0731          | 21.6923   |
| 0.0063        | 29.63 | 1600 | 0.0741          | 20.5385   |
| 0.0069        | 30.56 | 1650 | 0.0780          | 19.8462   |
| 0.0063        | 31.48 | 1700 | 0.0763          | 16.9538   |
| 0.0061        | 32.41 | 1750 | 0.0775          | 19.7846   |
| 0.0062        | 33.33 | 1800 | 0.0772          | 19.1077   |
| 0.0065        | 34.26 | 1850 | 0.0737          | 17.7231   |
| 0.0062        | 35.19 | 1900 | 0.0752          | 19.5385   |
| 0.0058        | 36.11 | 1950 | 0.0748          | 19.4      |
| 0.006         | 37.04 | 2000 | 0.0752          | 18.4154   |
| 0.0053        | 37.96 | 2050 | 0.0746          | 17.1385   |
| 0.0053        | 38.89 | 2100 | 0.0766          | 15.8154   |
| 0.0052        | 39.81 | 2150 | 0.0770          | 17.2      |
| 0.0049        | 40.74 | 2200 | 0.0763          | 19.3538   |
| 0.0051        | 41.67 | 2250 | 0.0766          | 19.9692   |
| 0.0046        | 42.59 | 2300 | 0.0768          | 19.9846   |
| 0.0045        | 43.52 | 2350 | 0.0773          | 16.3692   |
| 0.0044        | 44.44 | 2400 | 0.0771          | 16.7846   |
| 0.0041        | 45.37 | 2450 | 0.0773          | 17.6308   |
| 0.0042        | 46.3  | 2500 | 0.0774          | 16.0615   |
| 0.0041        | 47.22 | 2550 | 0.0767          | 16.3231   |
| 0.004         | 48.15 | 2600 | 0.0771          | 16.1846   |
| 0.0037        | 49.07 | 2650 | 0.0772          | 16.0462   |
| 0.0035        | 50.0  | 2700 | 0.0774          | 16.0923   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1