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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: 0.1323 |
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- Cer: 7.3156 |
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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: 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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| 0.2495 | 0.9980 | 488 | 0.3384 | 23.3014 | |
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| 0.1352 | 1.9959 | 976 | 0.2472 | 16.6320 | |
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| 0.0854 | 2.9939 | 1464 | 0.2133 | 16.6389 | |
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| 0.0447 | 3.9918 | 1952 | 0.1956 | 22.4831 | |
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| 0.0282 | 4.9898 | 2440 | 0.1921 | 12.4096 | |
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| 0.0167 | 5.9877 | 2928 | 0.1670 | 10.9682 | |
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| 0.0115 | 6.9857 | 3416 | 0.1833 | 10.5590 | |
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| 0.0078 | 7.9836 | 3904 | 0.1591 | 9.6204 | |
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| 0.0057 | 8.9816 | 4392 | 0.1568 | 10.5324 | |
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| 0.0037 | 9.9796 | 4880 | 0.1684 | 10.1371 | |
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| 0.0036 | 10.9775 | 5368 | 0.1626 | 10.8352 | |
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| 0.0015 | 11.9755 | 5856 | 0.1451 | 10.4226 | |
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| 0.0016 | 12.9734 | 6344 | 0.1562 | 10.2099 | |
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| 0.0007 | 13.9714 | 6832 | 0.1575 | 8.7731 | |
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| 0.0004 | 14.9693 | 7320 | 0.1395 | 9.8597 | |
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| 0.0006 | 15.9673 | 7808 | 0.1421 | 8.3316 | |
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| 0.0003 | 16.9652 | 8296 | 0.1345 | 7.5433 | |
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| 0.0001 | 17.9632 | 8784 | 0.1322 | 7.8692 | |
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| 0.0001 | 18.9611 | 9272 | 0.1326 | 7.3630 | |
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| 0.0001 | 19.9591 | 9760 | 0.1323 | 7.3156 | |
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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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