---
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: 0.0362
- Wer Score: 1.9038

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 7.303         | 4.17  | 50   | 4.4592          | 8.1747    |
| 2.2819        | 8.33  | 100  | 0.4176          | 7.8949    |
| 0.1266        | 12.5  | 150  | 0.0331          | 0.4367    |
| 0.0158        | 16.67 | 200  | 0.0292          | 1.3658    |
| 0.0045        | 20.83 | 250  | 0.0340          | 2.0152    |
| 0.0023        | 25.0  | 300  | 0.0349          | 2.2013    |
| 0.0016        | 29.17 | 350  | 0.0350          | 2.6532    |
| 0.0013        | 33.33 | 400  | 0.0356          | 2.1709    |
| 0.0012        | 37.5  | 450  | 0.0357          | 2.0532    |
| 0.0011        | 41.67 | 500  | 0.0360          | 2.1177    |
| 0.001         | 45.83 | 550  | 0.0360          | 1.9127    |
| 0.001         | 50.0  | 600  | 0.0362          | 1.9038    |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.7
- Tokenizers 0.14.1