|
--- |
|
language: |
|
- sw |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_15_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Incremental Swahili Luganda |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Mix data |
|
type: mozilla-foundation/common_voice_15_0 |
|
config: lg |
|
split: validation |
|
args: 'config: lu, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 36.177788108016735 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Incremental Swahili Luganda |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Mix data dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3827 |
|
- Wer: 36.1778 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 4000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.3394 | 0.0740 | 500 | 0.4718 | 44.4111 | |
|
| 0.3858 | 0.1481 | 1000 | 0.4562 | 42.6277 | |
|
| 0.3431 | 0.2221 | 1500 | 0.4337 | 40.9521 | |
|
| 0.3576 | 0.2962 | 2000 | 0.4183 | 39.3431 | |
|
| 0.3434 | 0.3702 | 2500 | 0.4046 | 38.4007 | |
|
| 0.3242 | 0.4443 | 3000 | 0.3948 | 37.2575 | |
|
| 0.3604 | 0.5183 | 3500 | 0.3871 | 36.8201 | |
|
| 0.2958 | 0.5924 | 4000 | 0.3827 | 36.1778 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0 |
|
- Pytorch 2.2.2+cu118 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
