---
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: 0.3508
- Wer Score: 1.4759

## 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: 2
- total_train_batch_size: 8
- 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 |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 6.7934        | 6.6667  | 50   | 4.3583          | 3.1928    |
| 2.4419        | 13.3333 | 100  | 0.9081          | 2.5331    |
| 0.2955        | 20.0    | 150  | 0.3321          | 1.6566    |
| 0.0404        | 26.6667 | 200  | 0.3342          | 1.4518    |
| 0.0147        | 33.3333 | 250  | 0.3451          | 1.3524    |
| 0.0108        | 40.0    | 300  | 0.3522          | 1.4277    |
| 0.0097        | 46.6667 | 350  | 0.3508          | 1.4759    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1