metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-hi2_test
results: []
whisper-tiny-hi2_test
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5037
- Wer: 58.3150
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: 3.75e-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: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6803 | 1.25 | 40 | 0.6102 | 65.9441 |
| 0.3649 | 2.5 | 80 | 0.5037 | 58.3150 |
| 0.2296 | 3.75 | 120 | 0.4897 | 66.7146 |
| 0.1564 | 5.0 | 160 | 0.5131 | 65.3429 |
| 0.0905 | 6.25 | 200 | 0.5504 | 63.9035 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1