transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer zh dataset:ZhihCheng/Motor_jargon_dataset base_model:ZhihCheng/whisper-tiny-zh license:apache-2.0 endpoints_compatible region:us
---
language:
- zh
license: apache-2.0
base_model: ZhihCheng/whisper-tiny-zh
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper tiny zh v2
  results: []
datasets:
- ZhihCheng/Motor_jargon_dataset
---

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# Whisper tiny zh v2

This model is a fine-tuned version of [ZhihCheng/whisper-tiny-zh](https://huggingface.co/ZhihCheng/whisper-tiny-zh) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0257
- Wer: 8.1081

## 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: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4201        | 0.62  | 50   | 0.2035          | 72.9730 |
| 0.1236        | 1.25  | 100  | 0.0640          | 31.5315 |
| 0.0849        | 1.88  | 150  | 0.0320          | 9.9099  |
| 0.0388        | 2.5   | 200  | 0.0257          | 8.1081  |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0a0+6a974be
- Datasets 2.16.1
- Tokenizers 0.15.1