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--- |
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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_elder |
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model-index: |
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- name: whisper-small-ko-E30_Yfreq-SA |
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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-E30_Yfreq-SA |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub elder over 70 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1771 |
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- Cer: 5.1809 |
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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: 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: 50 |
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- num_epochs: 2 |
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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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| 0.4152 | 0.13 | 100 | 0.2871 | 6.9196 | |
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| 0.2698 | 0.26 | 200 | 0.2207 | 6.1208 | |
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| 0.224 | 0.39 | 300 | 0.2093 | 5.8212 | |
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| 0.2407 | 0.52 | 400 | 0.2063 | 5.6802 | |
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| 0.234 | 0.64 | 500 | 0.1976 | 6.4556 | |
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| 0.2168 | 0.77 | 600 | 0.1901 | 5.3924 | |
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| 0.1846 | 0.9 | 700 | 0.1891 | 5.4159 | |
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| 0.1231 | 1.03 | 800 | 0.1823 | 5.1574 | |
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| 0.1159 | 1.16 | 900 | 0.1880 | 5.2749 | |
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| 0.1239 | 1.29 | 1000 | 0.1860 | 5.1809 | |
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| 0.1207 | 1.42 | 1100 | 0.1834 | 5.6273 | |
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| 0.101 | 1.55 | 1200 | 0.1788 | 5.5569 | |
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| 0.1193 | 1.68 | 1300 | 0.1771 | 5.0811 | |
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| 0.0949 | 1.81 | 1400 | 0.1775 | 5.1868 | |
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| 0.1181 | 1.93 | 1500 | 0.1771 | 5.1809 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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