---
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: 0.4035
- Wer Score: 1.5183

## 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
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 7.2724        | 2.0   | 50   | 4.6456          | 10.9317   |
| 2.6854        | 4.0   | 100  | 0.8998          | 10.6017   |
| 0.5411        | 6.0   | 150  | 0.4014          | 0.9533    |
| 0.2944        | 8.0   | 200  | 0.3795          | 0.945     |
| 0.1998        | 10.0  | 250  | 0.3885          | 1.17      |
| 0.1466        | 12.0  | 300  | 0.3911          | 0.9633    |
| 0.1161        | 14.0  | 350  | 0.3987          | 0.9633    |
| 0.0994        | 16.0  | 400  | 0.4011          | 1.24      |
| 0.0891        | 18.0  | 450  | 0.4027          | 1.2417    |
| 0.0838        | 20.0  | 500  | 0.4035          | 1.5183    |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2