---
language:
- qu
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- pollitoconpapass/test-genesis-quzbible-v4
model-index:
- name: Whisper Small Quechua - ZLTech
  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. -->

# Whisper Small Quechua - ZLTech

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Genesis Cuzco Quechua Bible dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch     | Step | Validation Loss |
|:-------------:|:---------:|:----:|:---------------:|
| 0.0001        | 363.6364  | 500  | 0.0001          |
| 0.0           | 727.2727  | 1000 | 0.0000          |
| 0.0           | 1090.9091 | 1500 | 0.0000          |
| 0.0           | 1454.5455 | 2000 | 0.0000          |
| 0.0           | 1818.1818 | 2500 | 0.0000          |
| 0.0           | 2181.8182 | 3000 | 0.0000          |
| 0.0           | 2545.4545 | 3500 | 0.0000          |
| 0.0           | 2909.0909 | 4000 | 0.0000          |
| 0.0           | 3272.7273 | 4500 | 0.0000          |
| 0.0           | 3636.3636 | 5000 | 0.0000          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1