---
library_name: transformers
language:
- dv
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper tuny Dv - hipstor
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: alakxender/dhivehi-audio-kn
      type: mozilla-foundation/common_voice_13_0
    metrics:
    - name: Wer
      type: wer
      value: 79.58392820722007
---

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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the alakxender/dhivehi-audio-kn dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9464
- Wer Ortho: 125.5444
- Wer: 79.5839

## 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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 3.7040        | 2.3933 | 500  | 0.9464          | 125.5444  | 79.5839 |


### Framework versions

- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2