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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: 0.2092 |
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- Cer: 12.0743 |
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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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| 1.186 | 0.9980 | 488 | 1.2024 | 49.3007 | |
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| 0.3895 | 1.9959 | 976 | 0.4851 | 26.5471 | |
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| 0.2054 | 2.9939 | 1464 | 0.3152 | 17.7208 | |
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| 0.1232 | 3.9918 | 1952 | 0.2593 | 16.5314 | |
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| 0.0844 | 4.9898 | 2440 | 0.2355 | 14.3364 | |
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| 0.0557 | 5.9877 | 2928 | 0.2269 | 15.5339 | |
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| 0.0367 | 6.9857 | 3416 | 0.2197 | 13.5042 | |
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| 0.0265 | 7.9836 | 3904 | 0.2149 | 13.1851 | |
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| 0.0199 | 8.9816 | 4392 | 0.2107 | 13.2591 | |
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| 0.0131 | 9.9796 | 4880 | 0.2113 | 14.0000 | |
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| 0.0084 | 10.9775 | 5368 | 0.2118 | 14.3977 | |
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| 0.006 | 11.9755 | 5856 | 0.2103 | 14.0104 | |
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| 0.0046 | 12.9734 | 6344 | 0.2109 | 13.5192 | |
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| 0.0036 | 13.9714 | 6832 | 0.2086 | 13.4972 | |
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| 0.003 | 14.9693 | 7320 | 0.2074 | 13.3643 | |
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| 0.0027 | 15.9673 | 7808 | 0.2083 | 13.7666 | |
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| 0.0023 | 16.9652 | 8296 | 0.2095 | 12.4280 | |
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| 0.0021 | 17.9632 | 8784 | 0.2105 | 12.3968 | |
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| 0.0019 | 18.9611 | 9272 | 0.2095 | 12.4581 | |
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| 0.0018 | 19.9591 | 9760 | 0.2092 | 12.0743 | |
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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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