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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- arrow |
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model-index: |
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- name: whisper-tiny-kor-16k-hf-ep100 |
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results: [] |
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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-tiny-kor-16k-hf-ep100 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the arrow dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9175 |
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- Cer: 29.8227 |
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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: 5e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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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- num_epochs: 100 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 0.1166 | 7.94 | 1000 | 0.6351 | 34.2349 | |
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| 0.0024 | 15.87 | 2000 | 0.7071 | 33.1900 | |
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| 0.0015 | 23.81 | 3000 | 0.7484 | 29.1958 | |
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| 0.0009 | 31.75 | 4000 | 0.7972 | 29.5301 | |
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| 0.0008 | 39.68 | 5000 | 0.8082 | 29.1122 | |
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| 0.0003 | 47.62 | 6000 | 0.8581 | 29.5182 | |
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| 0.0 | 55.56 | 7000 | 0.8756 | 29.6316 | |
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| 0.0 | 63.49 | 8000 | 0.8922 | 29.6316 | |
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| 0.0004 | 71.43 | 9000 | 0.8693 | 29.5958 | |
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| 0.0 | 79.37 | 10000 | 0.8930 | 29.9003 | |
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| 0.0 | 87.3 | 11000 | 0.9081 | 29.7212 | |
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| 0.0 | 95.24 | 12000 | 0.9175 | 29.8227 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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