metadata
license: apache-2.0
base_model: edmundchan70/Cantonese_finetune_whisper
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: model_output
results: []
model_output
This model is a fine-tuned version of edmundchan70/Cantonese_finetune_whisper on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1941
- Wer: 30.7448
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: 1.25e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 156 | 0.1469 | 22.1870 |
| No log | 2.0 | 312 | 0.1667 | 27.2583 |
| No log | 3.0 | 468 | 0.1770 | 27.7338 |
| 0.0778 | 4.0 | 624 | 0.1847 | 29.7940 |
| 0.0778 | 5.0 | 780 | 0.1970 | 30.4279 |
| 0.0778 | 6.0 | 936 | 0.1845 | 29.7940 |
| 0.0083 | 7.0 | 1092 | 0.1922 | 30.2694 |
| 0.0083 | 8.0 | 1248 | 0.1926 | 29.6355 |
| 0.0083 | 9.0 | 1404 | 0.1932 | 30.1109 |
| 0.0009 | 10.0 | 1560 | 0.1941 | 30.7448 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1