|
--- |
|
library_name: transformers |
|
language: |
|
- dv |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_13_0 |
|
model-index: |
|
- name: Whisper Small - DV - Marlhex |
|
results: [] |
|
metrics: |
|
- wer |
|
--- |
|
|
|
<!-- 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 - Marlhex |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset. |
|
|
|
## Model description |
|
|
|
Whisper fine tunned for dv language (Maldivan language, Divehi) from Maldives |
|
|
|
## Intended uses & limitations |
|
|
|
part of the AI portfolio to show to companies some of the work I've done in the Audio pilar. |
|
|
|
## Training and evaluation data |
|
|
|
WER normalized. |
|
|
|
## 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: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 5 |
|
- training_steps: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:---------:|:-----:| |
|
| No log | 0.0326 | 10 | 1.9577 | 100.0 | 100.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.1 |
|
- Pytorch 2.4.0 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.0 |
|
|
|
### Next Steps |
|
- Looking forward to training more languages that require more GB of storage, but my setup is limited. |
