metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-nl
results: []
whisper-small-nl
This model is a fine-tuned version of qmeeus/whisper-small-nl on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3034
- Wer: 14.5354
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: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2045 | 2.49 | 1000 | 0.3194 | 16.1628 |
| 0.0652 | 4.97 | 2000 | 0.3425 | 16.3672 |
| 0.0167 | 7.46 | 3000 | 0.3915 | 15.8187 |
| 0.0064 | 9.95 | 4000 | 0.4190 | 15.7298 |
| 0.1966 | 2.02 | 5000 | 0.3298 | 15.0881 |
| 0.1912 | 4.04 | 6000 | 0.3266 | 14.8764 |
| 0.1008 | 7.02 | 7000 | 0.3261 | 14.8086 |
| 0.0899 | 9.04 | 8000 | 0.3196 | 14.6487 |
| 0.1126 | 12.02 | 9000 | 0.3283 | 14.5894 |
| 0.1071 | 14.04 | 10000 | 0.3034 | 14.5354 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2