|
--- |
|
language: |
|
- zh |
|
license: apache-2.0 |
|
tags: |
|
- whisper |
|
- generated_from_trainer |
|
datasets: |
|
- '-' |
|
model-index: |
|
- name: whisper-base-zh-20230721 - au2a |
|
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-20230721 - au2a |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the some hakka audio dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4546 |
|
- Cer: 16.5974 |
|
|
|
## 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: 5e-06 |
|
- train_batch_size: 32 |
|
- 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: 500 |
|
- training_steps: 10000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.4669 | 0.65 | 1000 | 0.6528 | 25.0548 | |
|
| 0.2208 | 1.29 | 2000 | 0.5006 | 19.8761 | |
|
| 0.1452 | 1.94 | 3000 | 0.4546 | 17.9497 | |
|
| 0.0951 | 2.59 | 4000 | 0.4431 | 17.4511 | |
|
| 0.0526 | 3.24 | 5000 | 0.4450 | 17.3113 | |
|
| 0.0422 | 3.88 | 6000 | 0.4440 | 16.6201 | |
|
| 0.0271 | 4.53 | 7000 | 0.4471 | 17.0658 | |
|
| 0.0179 | 5.18 | 8000 | 0.4509 | 16.5823 | |
|
| 0.0166 | 5.83 | 9000 | 0.4535 | 16.8543 | |
|
| 0.0129 | 6.47 | 10000 | 0.4546 | 16.5974 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.2 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
