---
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: 0.0260
- Wer Score: 2.5870

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 7.3233        | 2.8571  | 50   | 4.4354          | 22.5705   |
| 2.2055        | 5.7143  | 100  | 0.3490          | 10.2262   |
| 0.1031        | 8.5714  | 150  | 0.0287          | 0.3700    |
| 0.0177        | 11.4286 | 200  | 0.0197          | 1.4176    |
| 0.007         | 14.2857 | 250  | 0.0214          | 4.7060    |
| 0.0029        | 17.1429 | 300  | 0.0232          | 3.8049    |
| 0.0017        | 20.0    | 350  | 0.0237          | 4.6676    |
| 0.0012        | 22.8571 | 400  | 0.0241          | 4.0458    |
| 0.0011        | 25.7143 | 450  | 0.0246          | 3.7335    |
| 0.001         | 28.5714 | 500  | 0.0249          | 3.2042    |
| 0.0011        | 31.4286 | 550  | 0.0253          | 2.9423    |
| 0.0011        | 34.2857 | 600  | 0.0257          | 2.7527    |
| 0.0011        | 37.1429 | 650  | 0.0256          | 2.7015    |
| 0.0011        | 40.0    | 700  | 0.0258          | 2.7152    |
| 0.001         | 42.8571 | 750  | 0.0260          | 2.5531    |
| 0.001         | 45.7143 | 800  | 0.0260          | 2.6126    |
| 0.001         | 48.5714 | 850  | 0.0260          | 2.5870    |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1