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

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: 0.0420
- Wer Score: 3.8081

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use 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 |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 5.2468        | 3.5398  | 50   | 4.5809          | 17.1528   |
| 0.7758        | 7.0796  | 100  | 0.4672          | 7.7810    |
| 0.0337        | 10.6195 | 150  | 0.0424          | 2.3531    |
| 0.0089        | 14.1593 | 200  | 0.0401          | 3.3039    |
| 0.0022        | 17.6991 | 250  | 0.0388          | 5.8557    |
| 0.0008        | 21.2389 | 300  | 0.0411          | 4.6740    |
| 0.0004        | 24.7788 | 350  | 0.0410          | 3.8676    |
| 0.0003        | 28.3186 | 400  | 0.0409          | 4.1766    |
| 0.0002        | 31.8584 | 450  | 0.0414          | 4.0136    |
| 0.0002        | 35.3982 | 500  | 0.0414          | 3.9779    |
| 0.0002        | 38.9381 | 550  | 0.0417          | 3.9542    |
| 0.0002        | 42.4779 | 600  | 0.0418          | 3.8913    |
| 0.0002        | 46.0177 | 650  | 0.0420          | 3.8183    |
| 0.0002        | 49.5575 | 700  | 0.0420          | 3.8081    |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3