|
--- |
|
language: |
|
- zh |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: openai/whisper-medium |
|
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. --> |
|
|
|
# openai/whisper-medium |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the pphuc25/ChiMed dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5288 |
|
- Cer: 34.8039 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 8 |
|
- 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: 100 |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.8597 | 1.0 | 161 | 1.0181 | 51.8271 | |
|
| 0.5092 | 2.0 | 322 | 1.1675 | 45.0980 | |
|
| 0.3538 | 3.0 | 483 | 1.2404 | 43.5606 | |
|
| 0.2113 | 4.0 | 644 | 1.3250 | 40.8868 | |
|
| 0.1571 | 5.0 | 805 | 1.4131 | 42.8253 | |
|
| 0.1351 | 6.0 | 966 | 1.4855 | 36.2077 | |
|
| 0.1041 | 7.0 | 1127 | 1.5188 | 33.1996 | |
|
| 0.0755 | 8.0 | 1288 | 1.4444 | 35.5615 | |
|
| 0.0671 | 9.0 | 1449 | 1.4181 | 32.7540 | |
|
| 0.0467 | 10.0 | 1610 | 1.4439 | 34.6702 | |
|
| 0.0412 | 11.0 | 1771 | 1.5517 | 33.4447 | |
|
| 0.031 | 12.0 | 1932 | 1.4488 | 31.8405 | |
|
| 0.0234 | 13.0 | 2093 | 1.5155 | 31.9742 | |
|
| 0.0185 | 14.0 | 2254 | 1.6007 | 32.4866 | |
|
| 0.0125 | 15.0 | 2415 | 1.5451 | 37.9456 | |
|
| 0.0062 | 16.0 | 2576 | 1.4836 | 31.5062 | |
|
| 0.0009 | 17.0 | 2737 | 1.5238 | 30.1916 | |
|
| 0.0002 | 18.0 | 2898 | 1.5149 | 30.7264 | |
|
| 0.0001 | 19.0 | 3059 | 1.5268 | 34.6925 | |
|
| 0.0002 | 20.0 | 3220 | 1.5288 | 34.8039 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
