Whisper tiny Vietnamese ver1.1 - Son Huynh
This model is a fine-tuned version of openai/whisper-small on the common_voice dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.4337
- eval_wer: 61.8094
- eval_runtime: 44.5363
- eval_samples_per_second: 4.446
- eval_steps_per_second: 0.09
- epoch: 71.43
- step: 500
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: 64
- eval_batch_size: 56
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 1000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.11.0
- Datasets 2.7.1
- Tokenizers 0.12.1
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