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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 Condenser |
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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 Condenser |
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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: 0.2344 |
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- Cer: 12.5425 |
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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: 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: 976 |
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- training_steps: 9760 |
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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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| 1.1066 | 0.9980 | 488 | 1.2078 | 49.8428 | |
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| 0.3421 | 1.9959 | 976 | 0.5032 | 26.3703 | |
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| 0.1775 | 2.9939 | 1464 | 0.3401 | 17.7012 | |
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| 0.1069 | 3.9918 | 1952 | 0.2920 | 18.6536 | |
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| 0.0719 | 4.9898 | 2440 | 0.2630 | 15.3975 | |
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| 0.0467 | 5.9877 | 2928 | 0.2507 | 15.8182 | |
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| 0.0302 | 6.9857 | 3416 | 0.2454 | 16.1523 | |
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| 0.0217 | 7.9836 | 3904 | 0.2407 | 14.2000 | |
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| 0.0157 | 8.9816 | 4392 | 0.2387 | 13.9053 | |
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| 0.0105 | 9.9796 | 4880 | 0.2373 | 14.6473 | |
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| 0.0066 | 10.9775 | 5368 | 0.2338 | 15.3628 | |
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| 0.005 | 11.9755 | 5856 | 0.2352 | 14.5040 | |
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| 0.0038 | 12.9734 | 6344 | 0.2321 | 14.1411 | |
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| 0.0035 | 13.9714 | 6832 | 0.2348 | 12.9644 | |
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| 0.0025 | 14.9693 | 7320 | 0.2335 | 13.4348 | |
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| 0.0022 | 15.9673 | 7808 | 0.2337 | 13.8186 | |
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| 0.0019 | 16.9652 | 8296 | 0.2345 | 13.7897 | |
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| 0.0018 | 17.9632 | 8784 | 0.2347 | 12.8430 | |
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| 0.0016 | 18.9611 | 9272 | 0.2341 | 13.1724 | |
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| 0.0016 | 19.9591 | 9760 | 0.2344 | 12.5425 | |
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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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