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---
language:
- zh
base_model: ZhihCheng/whisper-base-zh
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper base zh v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper base zh v2
This model is a fine-tuned version of [ZhihCheng/whisper-base-zh](https://huggingface.co/ZhihCheng/whisper-base-zh) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1522
- Wer: 75.0
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 0.241 | 0.35 | 50 | 0.4000 | 75.0 |
| 0.1766 | 0.71 | 100 | 0.3001 | 75.0 |
| 0.1085 | 1.06 | 150 | 0.2594 | 81.25 |
| 0.059 | 1.42 | 200 | 0.2162 | 81.25 |
| 0.0412 | 1.77 | 250 | 0.1789 | 87.5 |
| 0.0347 | 2.13 | 300 | 0.1431 | 68.75 |
| 0.0172 | 2.48 | 350 | 0.1408 | 68.75 |
| 0.0137 | 2.84 | 400 | 0.1408 | 68.75 |
| 0.0081 | 3.19 | 450 | 0.1458 | 75.0 |
| 0.0074 | 3.55 | 500 | 0.1522 | 75.0 |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0a0+6a974be
- Datasets 2.16.1
- Tokenizers 0.15.1
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