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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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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper large zh - seiching |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 13 |
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type: mozilla-foundation/common_voice_13_0 |
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config: zh-TW |
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split: test |
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args: zh-TW |
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metrics: |
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- name: Wer |
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type: wer |
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value: 39.92812936713915 |
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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 large zh - seiching |
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Common Voice 13 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2457 |
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- Wer Ortho: 40.3316 |
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- Wer: 39.9281 |
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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: 16 |
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- eval_batch_size: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
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| 0.0361 | 0.69 | 500 | 0.1989 | 38.3627 | 37.9517 | |
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| 0.0105 | 1.38 | 1000 | 0.2217 | 39.0259 | 38.9100 | |
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| 0.0208 | 2.06 | 1500 | 0.2299 | 39.6891 | 39.3292 | |
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| 0.0091 | 2.75 | 2000 | 0.2264 | 39.8964 | 39.4091 | |
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| 0.0153 | 3.44 | 2500 | 0.2363 | 39.8135 | 39.3891 | |
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| 0.0191 | 4.13 | 3000 | 0.2415 | 40.1865 | 40.0080 | |
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| 0.0061 | 4.81 | 3500 | 0.2542 | 41.1813 | 39.9281 | |
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| 0.0107 | 5.5 | 4000 | 0.2457 | 40.3316 | 39.9281 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.13.2 |
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- Tokenizers 0.13.3 |
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