|
--- |
|
library_name: transformers |
|
language: |
|
- wo |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- Google/Fleurs |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper-WOLOF-10-hours-Google-Fleurs-dataset |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Wolof Google Fleurs |
|
type: Google/Fleurs |
|
config: wo_sn |
|
split: None |
|
args: 'config: wo_sn, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 44.91918164349497 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/ASR%20Africa/runs/sp8yzz5d) |
|
# Whisper-WOLOF-10-hours-Google-Fleurs-dataset |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Wolof Google Fleurs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4961 |
|
- Wer: 44.9192 |
|
- Cer: 16.7830 |
|
|
|
## 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: 32 |
|
- 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_ratio: 0.1 |
|
- num_epochs: 50 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:| |
|
| 1.1589 | 6.4935 | 500 | 1.0397 | 46.6260 | 18.8906 | |
|
| 0.0602 | 12.9870 | 1000 | 1.2600 | 46.1173 | 17.4588 | |
|
| 0.0042 | 19.4805 | 1500 | 1.3654 | 44.8401 | 16.6024 | |
|
| 0.0013 | 25.9740 | 2000 | 1.4186 | 44.7383 | 16.5644 | |
|
| 0.0007 | 32.4675 | 2500 | 1.4569 | 45.2922 | 17.2179 | |
|
| 0.0006 | 38.9610 | 3000 | 1.4812 | 44.9531 | 16.6603 | |
|
| 0.0005 | 45.4545 | 3500 | 1.4961 | 44.9192 | 16.7830 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
|
|
