metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-ft-tts-en-cy
results: []
whisper-tiny-ft-tts-en-cy
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7312
- Wer: 43.2941
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: 4
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.9043 | 0.03 | 1000 | 0.9114 | 50.8573 |
| 0.7824 | 0.06 | 2000 | 0.7948 | 44.8466 |
| 0.725 | 0.08 | 3000 | 0.7469 | 43.6401 |
| 0.6998 | 0.11 | 4000 | 0.7312 | 43.2941 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1