whisper_finetune
This model is a fine-tuned version of openai/whisper-base on the aihub_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3508
- Cer: 12.0915
- Wer: 35.6445
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
---|---|---|---|---|---|
0.3416 | 0.32 | 500 | 12.9022 | 0.3510 | 36.6764 |
0.3344 | 0.64 | 1000 | 12.7008 | 0.3562 | 36.9463 |
0.3119 | 0.96 | 1500 | 12.4164 | 0.3517 | 36.5065 |
0.246 | 1.28 | 2000 | 12.4510 | 0.3569 | 36.4665 |
0.2437 | 1.6 | 2500 | 12.0823 | 0.3487 | 36.0543 |
0.2318 | 1.92 | 3000 | 0.3454 | 11.9698 | 35.7519 |
0.1861 | 2.24 | 3500 | 0.3501 | 11.9882 | 35.6895 |
0.1729 | 2.56 | 4000 | 0.3508 | 12.0915 | 35.6445 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
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