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--- |
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language: |
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- be |
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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 Tiny Belarusian |
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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: mozilla-foundation/common_voice_11_0 be |
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type: mozilla-foundation/common_voice_11_0 |
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config: be |
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split: validation |
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args: be |
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metrics: |
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- name: Wer |
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type: wer |
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value: 46.52014652014652 |
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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 Belarusian |
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Repo to test model training |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 be dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4388 |
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- Wer: 46.5201 |
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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: 32 |
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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: 10 |
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- training_steps: 300 |
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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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| 2.5366 | 0.05 | 10 | 1.5402 | 94.5055 | |
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| 1.3721 | 0.1 | 20 | 1.0021 | 75.8242 | |
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| 0.9921 | 0.15 | 30 | 0.8322 | 75.0916 | |
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| 0.9844 | 0.2 | 40 | 0.8080 | 72.8938 | |
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| 0.7071 | 0.25 | 50 | 0.7862 | 77.2894 | |
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| 0.7998 | 0.3 | 60 | 0.7052 | 68.8645 | |
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| 0.6935 | 0.35 | 70 | 0.6781 | 64.2857 | |
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| 0.81 | 0.4 | 80 | 0.6341 | 63.5531 | |
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| 0.6133 | 0.45 | 90 | 0.6083 | 62.6374 | |
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| 0.6675 | 0.5 | 100 | 0.5851 | 62.8205 | |
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| 0.5577 | 0.55 | 110 | 0.5651 | 59.3407 | |
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| 0.6473 | 0.6 | 120 | 0.5638 | 58.0586 | |
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| 0.6018 | 0.65 | 130 | 0.5434 | 53.8462 | |
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| 0.5918 | 0.7 | 140 | 0.5385 | 54.9451 | |
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| 0.5654 | 0.75 | 150 | 0.5200 | 58.0586 | |
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| 0.587 | 0.8 | 160 | 0.4974 | 57.1429 | |
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| 0.6157 | 0.85 | 170 | 0.4834 | 53.2967 | |
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| 0.6803 | 0.9 | 180 | 0.4852 | 55.8608 | |
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| 0.4813 | 0.95 | 190 | 0.4686 | 51.2821 | |
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| 0.4952 | 1.0 | 200 | 0.4624 | 51.4652 | |
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| 0.3956 | 0.03 | 210 | 0.4690 | 52.0147 | |
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| 0.3719 | 0.07 | 220 | 0.4673 | 52.7473 | |
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| 0.3168 | 0.1 | 230 | 0.4499 | 51.4652 | |
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| 0.3582 | 0.13 | 240 | 0.4525 | 46.8864 | |
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| 0.2475 | 0.17 | 250 | 0.4612 | 52.3810 | |
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| 0.2988 | 0.2 | 260 | 0.4346 | 49.8168 | |
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| 0.2749 | 0.23 | 270 | 0.4249 | 48.9011 | |
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| 0.3368 | 0.27 | 280 | 0.4388 | 46.5201 | |
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| 0.2574 | 0.3 | 290 | 0.4309 | 46.7033 | |
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| 0.2921 | 0.33 | 300 | 0.4282 | 46.7033 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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