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--- |
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language: |
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- id |
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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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- google/fleurs |
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- indonesian-nlp/librivox-indonesia |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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- cer |
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model-index: |
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- name: Whisper Medium ID - FLEURS-CV-LBV - Augmented |
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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: common_voice_11_0 |
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type: common_voice_11_0 |
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config: id |
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split: test |
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args: id |
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metrics: |
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- type: wer |
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value: 7.613206677118879 |
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name: Wer |
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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: google/fleurs |
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type: google/fleurs |
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config: id_id |
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split: test |
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metrics: |
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- type: wer |
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value: 7.17 |
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name: WER |
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- type: cer |
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value: 2.39 |
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name: CER |
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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 |
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type: mozilla-foundation/common_voice_11_0 |
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config: id |
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split: test |
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metrics: |
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- type: wer |
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value: 7.59 |
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name: WER |
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- type: cer |
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value: 2.33 |
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name: CER |
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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: indonesian-nlp/librivox-indonesia |
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type: indonesian-nlp/librivox-indonesia |
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config: ind |
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split: test |
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metrics: |
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- type: wer |
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value: 6.07 |
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name: WER |
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- type: cer |
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value: 1.84 |
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name: 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 Medium ID - FLEURS-CV-LBV - Augmented |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the: |
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- [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) |
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- [google/fleurs](https://huggingface.co/datasets/google/fleurs) |
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- [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) datasets. |
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It achieves the following results on the evaluation set (Common Voice 11.0): |
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- Loss: 0.2788 |
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- Wer: 7.6132 |
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- Cer: 2.3332 |
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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: 32 |
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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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 10000 |
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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 | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
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| 0.3002 | 1.9 | 1000 | 0.1659 | 8.1850 | 2.5333 | |
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| 0.0514 | 3.8 | 2000 | 0.1818 | 8.0559 | 2.5244 | |
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| 0.0145 | 5.7 | 3000 | 0.2150 | 7.8945 | 2.5281 | |
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| 0.0037 | 7.6 | 4000 | 0.2248 | 7.7100 | 2.3738 | |
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| 0.0016 | 9.51 | 5000 | 0.2402 | 7.6224 | 2.3591 | |
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| 0.0009 | 11.41 | 6000 | 0.2525 | 7.7654 | 2.3952 | |
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| 0.0005 | 13.31 | 7000 | 0.2609 | 7.5994 | 2.3487 | |
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| 0.0008 | 15.21 | 8000 | 0.2682 | 7.5855 | 2.3347 | |
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| 0.0002 | 17.11 | 9000 | 0.2756 | 7.6178 | 2.3288 | |
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| 0.0002 | 19.01 | 10000 | 0.2788 | 7.6132 | 2.3332 | |
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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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