metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-hi_test
results: []
whisper-tiny-hi_test
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3405
- Wer: 101.7544
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: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4
- training_steps: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.3725 | 10.0 | 10 | 2.3405 | 101.7544 |
| 1.5413 | 20.0 | 20 | 1.7254 | 263.1579 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1