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--- |
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license: apache-2.0 |
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datasets: |
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- haseong8012/child-50k |
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language: |
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- ko |
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metrics: |
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- wer |
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- cer |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-small_child50K_cosLR |
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This model is a fine-tuned version of [openai/small](https://huggingface.co/openai/small) on the child-50k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0241 |
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- Wer: 2.2556 |
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- Cer: 0.9159 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1.25e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 0.1058 | 0.36 | 500 | 0.0708 | 8.0241 | 3.2266 | |
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| 0.0577 | 0.71 | 1000 | 0.0446 | 5.2591 | 2.1891 | |
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| 0.0296 | 1.07 | 1500 | 0.0309 | 3.2662 | 1.3469 | |
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| 0.0301 | 1.42 | 2000 | 0.0279 | 2.7286 | 1.1516 | |
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| 0.0299 | 1.78 | 2500 | 0.0245 | 2.4578 | 0.9920 | |
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| 0.0219 | 2.13 | 3000 | 0.0262 | 2.6882 | 1.2290 | |
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| 0.0148 | 2.49 | 3500 | 0.0219 | 2.0899 | 0.9245 | |
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| 0.0141 | 2.84 | 4000 | 0.0281 | 2.8782 | 1.1615 | |
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| 0.0097 | 3.2 | 4500 | 0.0210 | 2.0616 | 0.8373 | |
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| 0.0109 | 3.55 | 5000 | 0.0241 | 2.2556 | 0.9159 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
