---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: git-base-naruto2
  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-naruto2

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: 0.0286
- Wer Score: 0.3515

## 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: 3
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Score |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| 10.2502       | 0.0909 | 5    | 9.1485          | 62.2485   |
| 8.8428        | 0.1818 | 10   | 8.3401          | 80.6545   |
| 8.1981        | 0.2727 | 15   | 7.8041          | 80.8121   |
| 7.7018        | 0.3636 | 20   | 7.3280          | 80.3636   |
| 7.2331        | 0.4545 | 25   | 6.8603          | 40.0485   |
| 6.7819        | 0.5455 | 30   | 6.3932          | 20.9152   |
| 6.3079        | 0.6364 | 35   | 5.9241          | 22.0424   |
| 5.8546        | 0.7273 | 40   | 5.4566          | 6.7515    |
| 5.3926        | 0.8182 | 45   | 4.9938          | 6.9636    |
| 4.9258        | 0.9091 | 50   | 4.5336          | 6.8909    |
| 4.4733        | 1.0    | 55   | 4.0808          | 7.4061    |
| 4.0241        | 1.0909 | 60   | 3.6383          | 6.9273    |
| 3.5895        | 1.1818 | 65   | 3.2081          | 7.2121    |
| 3.1657        | 1.2727 | 70   | 2.7929          | 7.2121    |
| 2.7513        | 1.3636 | 75   | 2.3954          | 7.8303    |
| 2.3667        | 1.4545 | 80   | 2.0232          | 8.1576    |
| 1.9959        | 1.5455 | 85   | 1.6770          | 8.8727    |
| 1.6518        | 1.6364 | 90   | 1.3655          | 9.2242    |
| 1.349         | 1.7273 | 95   | 1.0882          | 9.3758    |
| 1.081         | 1.8182 | 100  | 0.8536          | 9.1939    |
| 0.8455        | 1.9091 | 105  | 0.6599          | 8.8667    |
| 0.6619        | 2.0    | 110  | 0.5056          | 9.2727    |
| 0.5017        | 2.0909 | 115  | 0.3868          | 9.3636    |
| 0.385         | 2.1818 | 120  | 0.2934          | 10.9758   |
| 0.2916        | 2.2727 | 125  | 0.2254          | 10.6848   |
| 0.2292        | 2.3636 | 130  | 0.1742          | 9.3758    |
| 0.1773        | 2.4545 | 135  | 0.1368          | 8.8909    |
| 0.1397        | 2.5455 | 140  | 0.1088          | 8.4364    |
| 0.1214        | 2.6364 | 145  | 0.0907          | 0.4121    |
| 0.0964        | 2.7273 | 150  | 0.0764          | 0.3939    |
| 0.0812        | 2.8182 | 155  | 0.0649          | 0.3818    |
| 0.07          | 2.9091 | 160  | 0.0597          | 0.3818    |
| 0.0613        | 3.0    | 165  | 0.0516          | 0.4121    |
| 0.0454        | 3.0909 | 170  | 0.0472          | 0.3879    |
| 0.0492        | 3.1818 | 175  | 0.0422          | 0.4       |
| 0.0411        | 3.2727 | 180  | 0.0411          | 0.4364    |
| 0.035         | 3.3636 | 185  | 0.0394          | 0.4303    |
| 0.0378        | 3.4545 | 190  | 0.0370          | 0.3879    |
| 0.0389        | 3.5455 | 195  | 0.0348          | 0.3939    |
| 0.0341        | 3.6364 | 200  | 0.0335          | 0.3636    |
| 0.0391        | 3.7273 | 205  | 0.0327          | 0.3697    |
| 0.0266        | 3.8182 | 210  | 0.0314          | 0.5212    |
| 0.0282        | 3.9091 | 215  | 0.0308          | 2.6364    |
| 0.0306        | 4.0    | 220  | 0.0300          | 0.4848    |
| 0.0263        | 4.0909 | 225  | 0.0306          | 0.3758    |
| 0.0237        | 4.1818 | 230  | 0.0300          | 0.3697    |
| 0.0255        | 4.2727 | 235  | 0.0292          | 0.3515    |
| 0.0232        | 4.3636 | 240  | 0.0290          | 0.3576    |
| 0.024         | 4.4545 | 245  | 0.0291          | 0.3515    |
| 0.0243        | 4.5455 | 250  | 0.0294          | 0.3636    |
| 0.0245        | 4.6364 | 255  | 0.0296          | 0.3697    |
| 0.022         | 4.7273 | 260  | 0.0294          | 0.3576    |
| 0.0228        | 4.8182 | 265  | 0.0291          | 0.3576    |
| 0.0255        | 4.9091 | 270  | 0.0287          | 0.3515    |
| 0.025         | 5.0    | 275  | 0.0286          | 0.3515    |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1