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--- |
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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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metrics: |
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- 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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# 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: 0.1729 |
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- Cer: 10.2307 |
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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: 1521 |
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- training_steps: 15210 |
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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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| 0.2476 | 0.9993 | 1521 | 0.4437 | 23.6551 | |
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| 0.0892 | 1.9987 | 3042 | 0.2482 | 14.6693 | |
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| 0.0543 | 2.9980 | 4563 | 0.2007 | 11.1774 | |
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| 0.0361 | 3.9974 | 6084 | 0.1847 | 12.4939 | |
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| 0.0235 | 4.9967 | 7605 | 0.1791 | 10.5405 | |
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| 0.0157 | 5.9961 | 9126 | 0.1727 | 10.9000 | |
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| 0.0121 | 6.9954 | 10647 | 0.1724 | 11.1554 | |
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| 0.0082 | 7.9947 | 12168 | 0.1720 | 10.3694 | |
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| 0.0059 | 8.9941 | 13689 | 0.1732 | 10.4053 | |
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| 0.0049 | 9.9934 | 15210 | 0.1729 | 10.2307 | |
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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 |
