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--- |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- vumichien/preprocessed_jsut_jsss_css10_common_voice_11 |
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metrics: |
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- wer |
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base_model: openai/whisper-medium |
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model-index: |
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- name: Whisper Medium Japanese |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 ja |
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type: mozilla-foundation/common_voice_11_0 |
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config: ja |
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split: test |
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args: ja |
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metrics: |
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- type: wer |
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value: 8.7213 |
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name: Wer |
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- type: cer |
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value: 5.4698 |
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name: Cer |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: ja_jp |
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split: test |
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metrics: |
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- type: wer |
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value: 12.825163229350192 |
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name: WER |
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- type: cer |
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value: 7.797336057522297 |
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name: 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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# openai/whisper-medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the vumichien/preprocessed_jsut_jsss_css10_common_voice_11 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2836 |
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- Wer: 8.7213 |
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- Cer: 5.4698 |
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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: 32 |
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- eval_batch_size: 16 |
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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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- training_steps: 10000 |
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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 | Wer | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:| |
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| 0.1106 | 1.1 | 1000 | 0.1827 | 10.3480 | 6.4784 | |
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| 0.0487 | 2.2 | 2000 | 0.1799 | 9.4764 | 5.9127 | |
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| 0.0243 | 3.29 | 3000 | 0.1950 | 9.2111 | 5.8069 | |
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| 0.0106 | 4.39 | 4000 | 0.2113 | 8.9713 | 5.5756 | |
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| 0.0054 | 5.49 | 5000 | 0.2325 | 8.6470 | 5.4041 | |
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| 0.0031 | 6.59 | 6000 | 0.2462 | 8.7078 | 5.4409 | |
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| 0.0014 | 7.68 | 7000 | 0.2608 | 8.7145 | 5.4849 | |
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| 0.0009 | 8.78 | 8000 | 0.2695 | 8.6301 | 5.3876 | |
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| 0.0004 | 9.88 | 9000 | 0.2794 | 8.6064 | 5.3528 | |
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| 0.0003 | 10.98 | 10000 | 0.2836 | 8.7213 | 5.4698 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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