EraX-WoW-Turbo-V1.0 Vietnamese - Huy Bunn
This model is a fine-tuned version of erax-ai/EraX-WoW-Turbo-V1.0 on the Infore1 25 hours dataset. It achieves the following results on the evaluation set:
- Loss: 0.0787
- Wer Ortho: 4.2461
- Wer: 4.1672
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: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0686 | 1.3373 | 250 | 0.0787 | 4.2461 | 4.1672 |
Framework versions
- Transformers 4.50.1
- Pytorch 2.6.0+cpu
- Datasets 3.4.1
- Tokenizers 0.21.1
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Safetensors
Model size
0.8B params
Tensor type
F32
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Model tree for huybunn/EraX-WoW-Turbo-V1.0-fine-tune-vi
Base model
openai/whisper-large-v3 Finetuned
openai/whisper-large-v3-turbo Finetuned
erax-ai/EraX-WoW-Turbo-V1.0Dataset used to train huybunn/EraX-WoW-Turbo-V1.0-fine-tune-vi
Evaluation results
- Wer on Infore1 25 hoursself-reported4.167