|
--- |
|
library_name: transformers |
|
language: |
|
- twi |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- custom-dataset |
|
- local-dataset |
|
- whisper |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-small-DL-Twi |
|
results: [] |
|
--- |
|
|
|
<!-- 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-DL-Twi |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Twi- native Ghanaian language. dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0056 |
|
- Wer: 21.9877 |
|
- Cer: 19.3600 |
|
|
|
## 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: 8 |
|
- seed: 42 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- 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 | Cer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
|
| 0.0228 | 0.5701 | 1000 | 0.0239 | 31.6736 | 25.7396 | |
|
| 0.0055 | 1.1403 | 2000 | 0.0089 | 19.4690 | 14.9189 | |
|
| 0.0028 | 1.7104 | 3000 | 0.0061 | 27.2975 | 22.3501 | |
|
| 0.0034 | 2.2805 | 4000 | 0.0056 | 21.9877 | 19.3600 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.0.dev0 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
