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language: |
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- zh |
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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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- formospeech/hat_asr_aligned |
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model-index: |
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- name: Whisper Tiny Hakka Simulated Webcam |
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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 Hakka Simulated Webcam |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1402 |
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- Cer: 8.5108 |
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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: 0.0001 |
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- train_batch_size: 64 |
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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: 488 |
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- training_steps: 4880 |
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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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| 0.2096 | 0.9980 | 488 | 0.3010 | 27.0939 | |
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| 0.1035 | 1.9959 | 976 | 0.2198 | 18.4063 | |
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| 0.0491 | 2.9939 | 1464 | 0.1966 | 12.8661 | |
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| 0.0261 | 3.9918 | 1952 | 0.1766 | 14.3364 | |
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| 0.0117 | 4.9898 | 2440 | 0.1576 | 10.6133 | |
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| 0.0045 | 5.9877 | 2928 | 0.1425 | 11.8732 | |
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| 0.0014 | 6.9857 | 3416 | 0.1471 | 9.7591 | |
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| 0.0006 | 7.9836 | 3904 | 0.1413 | 8.8356 | |
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| 0.0005 | 8.9816 | 4392 | 0.1413 | 8.6079 | |
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| 0.0003 | 9.9796 | 4880 | 0.1402 | 8.5108 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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