metadata
library_name: transformers
language:
- dv
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- alakxender/dhivehi-audio-kn
metrics:
- wer
model-index:
- name: Whisper Small Dv - Sanchit Gandhi
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Dhivehi Audio Dataset
type: alakxender/dhivehi-audio-kn
metrics:
- name: Wer
type: wer
value: 7.089537018152152
Whisper Small Dv - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Dhivehi Audio Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1480
- Wer Ortho: 42.2207
- Wer: 7.0895
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: Use OptimizerNames.ADAMW_TORCH 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0605 | 2.3923 | 500 | 0.0790 | 46.1564 | 7.7177 |
| 0.0281 | 4.7847 | 1000 | 0.0854 | 43.5270 | 7.3792 |
| 0.0085 | 7.1770 | 1500 | 0.1165 | 43.3261 | 7.2649 |
| 0.0051 | 9.5694 | 2000 | 0.1230 | 43.4601 | 7.0120 |
| 0.0031 | 11.9617 | 2500 | 0.1358 | 42.3045 | 6.8937 |
| 0.0025 | 14.3541 | 3000 | 0.1438 | 42.9744 | 6.9957 |
| 0.0035 | 16.7464 | 3500 | 0.1413 | 42.3547 | 6.8040 |
| 0.0017 | 19.1388 | 4000 | 0.1480 | 42.2207 | 7.0895 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.10.0+cu130
- Datasets 4.5.0
- Tokenizers 0.21.4