metadata
language:
- zh
license: apache-2.0
base_model: ZhihCheng/whisper-base-zh
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper base zh v2
results: []
Whisper base zh v2
This model is a fine-tuned version of ZhihCheng/whisper-base-zh on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1986
- Wer: 68.75
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0375 | 0.85 | 50 | 0.1724 | 68.75 |
| 0.0164 | 1.69 | 100 | 0.1800 | 68.75 |
| 0.0044 | 2.54 | 150 | 0.1788 | 68.75 |
| 0.0031 | 3.39 | 200 | 0.1927 | 68.75 |
| 0.0009 | 4.24 | 250 | 0.1736 | 62.5 |
| 0.0009 | 5.08 | 300 | 0.1984 | 75.0 |
| 0.0006 | 5.93 | 350 | 0.2019 | 75.0 |
| 0.0005 | 6.78 | 400 | 0.1988 | 75.0 |
| 0.0005 | 7.63 | 450 | 0.1989 | 68.75 |
| 0.0005 | 8.47 | 500 | 0.1986 | 68.75 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0a0+6a974be
- Datasets 2.16.1
- Tokenizers 0.15.1