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--- |
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language: |
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- th |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Thai |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 th |
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type: mozilla-foundation/common_voice_11_0 |
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config: th |
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split: test |
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args: th |
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metrics: |
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- type: wer |
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value: 14.060702592690913 |
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name: Wer |
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- type: mer |
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value: 13.786820528393562 |
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name: Mer |
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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 Thai |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 th,None,th_th dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1841 |
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- Wer: 14.060 |
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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: 500 |
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- training_steps: 5000 |
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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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| 0.0909 | 0.2 | 1000 | 0.3373 | 25.5752 | |
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| 0.0426 | 1.1 | 2000 | 0.2540 | 20.9739 | |
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| 0.0267 | 2.0 | 3000 | 0.2210 | 17.4080 | |
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| 0.0145 | 2.2 | 4000 | 0.2134 | 15.5675 | |
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| 0.0099 | 3.1 | 5000 | 0.1841 | 13.2285 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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