---
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: 0.0627
- Wer Score: 8.5567

## 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 2.2863        | 2.1277  | 50   | 0.3771          | 0.4680    |
| 0.1088        | 4.2553  | 100  | 0.0445          | 0.4631    |
| 0.0219        | 6.3830  | 150  | 0.0438          | 0.4483    |
| 0.0152        | 8.5106  | 200  | 0.0437          | 0.4532    |
| 0.0124        | 10.6383 | 250  | 0.0474          | 0.4877    |
| 0.0101        | 12.7660 | 300  | 0.0499          | 2.7241    |
| 0.008         | 14.8936 | 350  | 0.0512          | 4.0493    |
| 0.0064        | 17.0213 | 400  | 0.0535          | 5.2857    |
| 0.0039        | 19.1489 | 450  | 0.0574          | 7.3103    |
| 0.0025        | 21.2766 | 500  | 0.0587          | 7.6847    |
| 0.0015        | 23.4043 | 550  | 0.0620          | 8.0443    |
| 0.0011        | 25.5319 | 600  | 0.0617          | 9.0788    |
| 0.0009        | 27.6596 | 650  | 0.0627          | 8.5567    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1