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language: |
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- fi |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Large v3 Fine-Tuned Finnish - CommonVoice13 |
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results: [] |
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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 v3 Fine-Tuned Finnish - CommonVoice13 |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3858 |
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- Wer: 21.6363 |
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It achieves the following results on the Test set: |
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- Eval_Wer: 21.636296705319342 |
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- Eval_NormalizedWer: 18.727590328215502 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: 50 |
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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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| 0.0049 | 0.84 | 50 | 0.4045 | 27.8851 | |
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| 0.0264 | 1.68 | 100 | 0.4482 | 29.3852 | |
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| 0.0189 | 2.53 | 150 | 0.4076 | 26.6980 | |
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| 0.0129 | 3.37 | 200 | 0.3772 | 24.5905 | |
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| 0.0087 | 4.21 | 250 | 0.3875 | 25.5108 | |
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| 0.0054 | 5.05 | 300 | 0.3754 | 24.9034 | |
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| 0.0035 | 5.89 | 350 | 0.3742 | 23.5505 | |
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| 0.0014 | 6.74 | 400 | 0.3823 | 23.4677 | |
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| 0.0014 | 7.58 | 450 | 0.3914 | 23.5781 | |
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| 0.0012 | 8.42 | 500 | 0.3771 | 22.3173 | |
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| 0.0007 | 9.26 | 550 | 0.3812 | 21.8756 | |
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| 0.0002 | 10.11 | 600 | 0.3812 | 21.7191 | |
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| 0.0002 | 10.95 | 650 | 0.3825 | 21.6547 | |
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| 0.0001 | 11.79 | 700 | 0.3844 | 21.6363 | |
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| 0.0001 | 12.63 | 750 | 0.3854 | 21.5995 | |
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| 0.0001 | 13.47 | 800 | 0.3858 | 21.6363 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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