Whisper_small_Korean
This model is a fine-tuned version of openai/whisper-large-v2 on the google/fleurs ko_kr dataset. It achieves the following results on the evaluation set:
- Loss: 0.3315
- Wer: 13.0129
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: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0005 | 35.69 | 500 | 0.3188 | 13.0305 |
| 0.0003 | 71.41 | 1000 | 0.3315 | 13.0129 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Downloads last month
- 7
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train steja/whisper-small-korean
Space using steja/whisper-small-korean 1
Evaluation results
- Wer on google/fleurs ko_krtest set self-reported13.013