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---
language:
- dv
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Dv - Mark Redito
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 13 - Dhivehi
type: mozilla-foundation/common_voice_13_0
config: dv
split: test
args: dv
metrics:
- name: Wer
type: wer
value: 10.863441944570019
---
<!-- 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 Dv - Mark Redito
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 - Dhivehi dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3041
- Wer Ortho: 56.8563
- Wer: 10.8634
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
| 0.121 | 1.6287 | 500 | 0.1725 | 62.6994 | 13.3481 |
| 0.0435 | 3.2573 | 1000 | 0.1651 | 57.9567 | 11.5659 |
| 0.0296 | 4.8860 | 1500 | 0.1829 | 58.1517 | 11.6076 |
| 0.0071 | 6.5147 | 2000 | 0.2369 | 58.8203 | 11.4198 |
| 0.0016 | 8.1433 | 2500 | 0.2718 | 57.9915 | 11.2129 |
| 0.0011 | 9.7720 | 3000 | 0.2923 | 57.1349 | 11.1242 |
| 0.0002 | 11.4007 | 3500 | 0.3001 | 56.8633 | 10.9173 |
| 0.0002 | 13.0293 | 4000 | 0.3041 | 56.8563 | 10.8634 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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