|
|
--- |
|
|
language: |
|
|
- ko |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- hf-asr-leaderboard |
|
|
- generated_from_trainer |
|
|
base_model: openai/whisper-medium |
|
|
datasets: |
|
|
- Marcusxx/cheonanAddresses |
|
|
model-index: |
|
|
- name: cheonanAddresses_torchmodel_model |
|
|
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. --> |
|
|
|
|
|
# cheonanAddresses_torchmodel_model |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/cheonanAddresses dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0531 |
|
|
- Cer: 14.2607 |
|
|
|
|
|
## 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: 16 |
|
|
- 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 |
|
|
- training_steps: 10000 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Cer | |
|
|
|:-------------:|:------:|:-----:|:---------------:|:-------:| |
|
|
| 0.0765 | 0.3101 | 1000 | 0.0767 | 27.7467 | |
|
|
| 0.0698 | 0.6202 | 2000 | 0.0717 | 2.6100 | |
|
|
| 0.0624 | 0.9302 | 3000 | 0.0667 | 3.7811 | |
|
|
| 0.0597 | 1.2403 | 4000 | 0.0629 | 2.1665 | |
|
|
| 0.0598 | 1.5504 | 5000 | 0.0602 | 2.0783 | |
|
|
| 0.0557 | 1.8605 | 6000 | 0.0586 | 5.0203 | |
|
|
| 0.0512 | 2.1705 | 7000 | 0.0566 | 16.9546 | |
|
|
| 0.0441 | 2.4806 | 8000 | 0.0558 | 13.6386 | |
|
|
| 0.0533 | 2.7907 | 9000 | 0.0537 | 13.8057 | |
|
|
| 0.0376 | 3.1008 | 10000 | 0.0531 | 14.2607 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.41.2 |
|
|
- Pytorch 2.2.2+cu121 |
|
|
- Datasets 2.19.2 |
|
|
- Tokenizers 0.19.1 |
|
|
|
