---
license: mit
base_model: TeeA/git-base-pokemon
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 [TeeA/git-base-pokemon](https://huggingface.co/TeeA/git-base-pokemon) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2101
- eval_wer_score: 4.6548
- eval_runtime: 25.4225
- eval_samples_per_second: 28.793
- eval_steps_per_second: 1.809
- epoch: 22.0
- step: 3349

## 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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0