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--- |
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library_name: transformers |
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language: |
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- hi |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- aihub_adult_baseline |
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model-index: |
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- name: whisper-small-ko-baseline |
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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-small-ko-baseline |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub adult speed changed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2914 |
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- Cer: 8.5820 |
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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: 1e-05 |
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- train_batch_size: 8 |
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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: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 4 |
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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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| 0.2433 | 0.1289 | 100 | 0.2943 | 7.8712 | |
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| 0.1379 | 0.2579 | 200 | 0.2758 | 7.4248 | |
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| 0.1105 | 0.3868 | 300 | 0.2831 | 7.6010 | |
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| 0.1231 | 0.5158 | 400 | 0.2671 | 7.2192 | |
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| 0.0984 | 0.6447 | 500 | 0.2721 | 7.2603 | |
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| 0.0938 | 0.7737 | 600 | 0.2742 | 7.1840 | |
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| 0.0954 | 0.9026 | 700 | 0.2718 | 6.9901 | |
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| 0.0385 | 1.0316 | 800 | 0.2649 | 6.9549 | |
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| 0.0302 | 1.1605 | 900 | 0.2645 | 7.5129 | |
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| 0.0388 | 1.2895 | 1000 | 0.2722 | 7.0606 | |
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| 0.0338 | 1.4184 | 1100 | 0.2819 | 7.8889 | |
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| 0.0389 | 1.5474 | 1200 | 0.2725 | 7.7479 | |
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| 0.0335 | 1.6763 | 1300 | 0.2716 | 8.3647 | |
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| 0.0331 | 1.8053 | 1400 | 0.2751 | 7.6774 | |
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| 0.0343 | 1.9342 | 1500 | 0.2825 | 7.8008 | |
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| 0.0134 | 2.0632 | 1600 | 0.2739 | 6.9079 | |
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| 0.0127 | 2.1921 | 1700 | 0.2779 | 8.8287 | |
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| 0.0141 | 2.3211 | 1800 | 0.2822 | 7.1429 | |
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| 0.0113 | 2.4500 | 1900 | 0.2864 | 8.6407 | |
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| 0.0131 | 2.5790 | 2000 | 0.2797 | 10.5909 | |
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| 0.0103 | 2.7079 | 2100 | 0.2835 | 8.4880 | |
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| 0.0117 | 2.8369 | 2200 | 0.2828 | 11.5425 | |
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| 0.0116 | 2.9658 | 2300 | 0.2832 | 9.5747 | |
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| 0.0046 | 3.0948 | 2400 | 0.2862 | 8.8640 | |
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| 0.0045 | 3.2237 | 2500 | 0.2877 | 10.0388 | |
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| 0.0061 | 3.3527 | 2600 | 0.2886 | 8.9991 | |
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| 0.0055 | 3.4816 | 2700 | 0.2894 | 8.4704 | |
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| 0.0052 | 3.6106 | 2800 | 0.2904 | 8.4410 | |
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| 0.0059 | 3.7395 | 2900 | 0.2908 | 10.3266 | |
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| 0.0051 | 3.8685 | 3000 | 0.2913 | 9.3280 | |
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| 0.0047 | 3.9974 | 3100 | 0.2914 | 8.5820 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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