---
license: mit
base_model: microsoft/git-base
tags:
- generated_from_trainer
model-index:
- name: pokemon_captions
  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. -->

# pokemon_captions

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: 6.8345
- Wer Score: 49.8505

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 9.5056        | 0.21  | 10   | 8.3847          | 75.6675   |
| 8.0875        | 0.43  | 20   | 7.6115          | 75.9652   |
| 7.4568        | 0.64  | 30   | 7.1151          | 69.8376   |
| 7.0645        | 0.85  | 40   | 6.8345          | 49.8505   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2