---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Quechua_Project_Whisper
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Quechua_Project_Whisper

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0580
- Wer: 1442.0775

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer       |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| 5.2233        | 0.3388 | 1000 | 5.3550          | 1952.6512 |
| 4.3345        | 0.6775 | 2000 | 4.7009          | 1775.3798 |
| 3.849         | 1.0163 | 3000 | 4.2552          | 1539.1008 |
| 3.2258        | 1.3550 | 4000 | 4.0580          | 1442.0775 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3