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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- rngzhi/cs3264-project |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small - Singlish v2 |
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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: rngzhi/cs3264-project |
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type: rngzhi/cs3264-project |
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metrics: |
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- name: Wer |
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type: wer |
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value: 4.923638021426943 |
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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 Small - Singlish v2 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the rngzhi/cs3264-project dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1850 |
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- Wer: 4.9236 |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 25 |
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- training_steps: 800 |
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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 | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 0.5404 | 0.0625 | 50 | 0.1970 | 5.6075 | |
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| 0.075 | 1.0144 | 100 | 0.1557 | 4.8780 | |
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| 0.042 | 1.0769 | 150 | 0.1610 | 4.9692 | |
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| 0.0185 | 2.0288 | 200 | 0.1628 | 4.9122 | |
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| 0.0117 | 2.0913 | 250 | 0.1651 | 5.0262 | |
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| 0.0096 | 3.0431 | 300 | 0.1716 | 5.0490 | |
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| 0.007 | 3.1056 | 350 | 0.1747 | 5.0034 | |
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| 0.0045 | 4.0575 | 400 | 0.1783 | 5.1402 | |
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| 0.0046 | 5.0094 | 450 | 0.1749 | 5.1288 | |
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| 0.004 | 5.0719 | 500 | 0.1782 | 5.0148 | |
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| 0.0021 | 6.0237 | 550 | 0.1814 | 5.0034 | |
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| 0.004 | 6.0862 | 600 | 0.1813 | 4.9920 | |
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| 0.0024 | 7.0381 | 650 | 0.1844 | 4.9350 | |
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| 0.0022 | 7.1006 | 700 | 0.1834 | 4.9008 | |
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| 0.0032 | 8.0525 | 750 | 0.1850 | 4.9236 | |
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| 0.0016 | 9.0044 | 800 | 0.1850 | 4.9236 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.1.dev0 |
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- Tokenizers 0.19.1 |
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