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--- |
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language: |
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- ja |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-ja |
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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-ja |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3967 |
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- Wer: 18.3755 |
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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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- 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: 5 |
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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 0.3 | 10 | 1.1627 | 26.0985 | |
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| No log | 0.61 | 20 | 0.7416 | 900.3995 | |
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| 1.2431 | 0.91 | 30 | 0.6344 | 60.3196 | |
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| 1.2431 | 1.21 | 40 | 0.5944 | 20.2397 | |
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| 0.5462 | 1.52 | 50 | 0.5341 | 19.3076 | |
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| 0.5462 | 1.82 | 60 | 0.4953 | 18.5087 | |
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| 0.5462 | 2.12 | 70 | 0.4715 | 19.9734 | |
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| 0.3259 | 2.42 | 80 | 0.4469 | 18.2423 | |
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| 0.3259 | 2.73 | 90 | 0.4246 | 19.7071 | |
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| 0.1986 | 3.03 | 100 | 0.4076 | 19.0413 | |
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| 0.1986 | 3.33 | 110 | 0.3949 | 17.7097 | |
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| 0.1986 | 3.64 | 120 | 0.4008 | 20.5060 | |
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| 0.1101 | 3.94 | 130 | 0.3892 | 18.3755 | |
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| 0.1101 | 4.24 | 140 | 0.3873 | 18.3755 | |
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| 0.0695 | 4.55 | 150 | 0.3930 | 19.7071 | |
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| 0.0695 | 4.85 | 160 | 0.3857 | 18.1092 | |
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| 0.0695 | 5.15 | 170 | 0.3861 | 19.0413 | |
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| 0.0467 | 5.45 | 180 | 0.3913 | 18.5087 | |
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| 0.0467 | 5.76 | 190 | 0.3963 | 18.7750 | |
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| 0.0346 | 6.06 | 200 | 0.3967 | 18.3755 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cpu |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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