---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: git-base-pokemon-captioning-generate
  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-captioning-generate

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1551
- Wer Score: 4.4399

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 4.6973        | 4.1702  | 100  | 0.4374          | 15.2827   |
| 0.1366        | 8.3404  | 200  | 0.1118          | 4.2933    |
| 0.0431        | 12.5106 | 300  | 0.1225          | 4.5509    |
| 0.0115        | 16.6809 | 400  | 0.1358          | 5.0092    |
| 0.003         | 20.8511 | 500  | 0.1445          | 5.2642    |
| 0.0015        | 25.0    | 600  | 0.1506          | 4.6816    |
| 0.0012        | 29.1702 | 700  | 0.1537          | 4.3778    |
| 0.0011        | 33.3404 | 800  | 0.1542          | 4.1532    |
| 0.001         | 37.5106 | 900  | 0.1552          | 4.3699    |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.0