|
--- |
|
language: |
|
- ig |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_17_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Igbo |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 17 |
|
type: mozilla-foundation/common_voice_17_0 |
|
config: ig |
|
split: test |
|
args: ig |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 286.11111111111114 |
|
--- |
|
|
|
<!-- 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 Igbo |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 8.1870 |
|
- Wer Ortho: 294.2857 |
|
- Wer: 286.1111 |
|
|
|
## 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: 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:---------:|:--------:| |
|
| 0.0 | 500.0 | 500 | 3.2906 | 97.1429 | 88.8889 | |
|
| 0.0 | 1000.0 | 1000 | 3.6536 | 91.4286 | 86.1111 | |
|
| 0.0 | 1500.0 | 1500 | 4.3865 | 94.2857 | 91.6667 | |
|
| 0.0 | 2000.0 | 2000 | 5.4348 | 102.8571 | 100.0 | |
|
| 0.0 | 2500.0 | 2500 | 5.9169 | 94.2857 | 94.4444 | |
|
| 0.0 | 3000.0 | 3000 | 6.6346 | 288.5714 | 277.7778 | |
|
| 0.0 | 3500.0 | 3500 | 7.4267 | 297.1429 | 288.8889 | |
|
| 0.0 | 4000.0 | 4000 | 8.1870 | 294.2857 | 286.1111 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
