metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-ft-cy
results: []
whisper-tiny-ft-cy
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7176
- Wer: 53.1135
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 |
---|---|---|---|---|
0.8115 | 1.41 | 1000 | 0.8426 | 60.0795 |
0.6396 | 2.83 | 2000 | 0.7508 | 54.4259 |
0.5259 | 4.24 | 3000 | 0.7255 | 53.1328 |
0.4854 | 5.66 | 4000 | 0.7176 | 53.1135 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1