|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v3 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
language: |
|
- cy |
|
- en |
|
pipeline_tag: automatic-speech-recognition |
|
datasets: |
|
- techiaith/commonvoice_18_0_cy_en |
|
--- |
|
|
|
# whisper-large-v3-ft-cy-en |
|
|
|
This model is a version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) fine-tuned with a curated collection of |
|
Welsh and English speech data (see: [techiaith/commonvoice_18_0_cy_en](https://huggingface.co/datasets/techiaith/commonvoice_18_0_cy_en) |
|
collected originally from Mozilla's Common Voice project. |
|
|
|
It achieves the following results on the following language specific test sets: |
|
|
|
- WER (test_en): 13.85 |
|
- WER (test_cy): 8.78 |
|
- WER (test_cy+test_en): 9.55 |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 4000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.2097 | 0.2497 | 1000 | 0.2169 | 14.2221 | |
|
| 0.1621 | 0.4993 | 2000 | 0.1816 | 11.6845 | |
|
| 0.1406 | 0.7490 | 3000 | 0.1609 | 10.2445 | |
|
| 0.1242 | 0.9987 | 4000 | 0.1505 | 9.5594 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |