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--- |
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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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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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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 |
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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: Common Voice 13.0 |
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type: mozilla-foundation/common_voice_13_0 |
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config: fi |
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split: test |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.016749493833977 |
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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 |
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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 Common Voice 13.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3344 |
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- Wer: 23.0167 |
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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: 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: 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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| 0.5817 | 0.42 | 50 | 0.4090 | 37.5023 | |
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| 0.4669 | 0.84 | 100 | 0.4374 | 35.8274 | |
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| 0.3154 | 1.26 | 150 | 0.4848 | 39.0484 | |
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| 0.2192 | 1.68 | 200 | 0.4313 | 34.6954 | |
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| 0.1985 | 2.1 | 250 | 0.4346 | 34.5205 | |
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| 0.1125 | 2.52 | 300 | 0.4307 | 32.8640 | |
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| 0.1039 | 2.94 | 350 | 0.4278 | 31.3271 | |
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| 0.067 | 3.36 | 400 | 0.4043 | 33.5542 | |
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| 0.0577 | 3.78 | 450 | 0.3911 | 40.7050 | |
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| 0.0461 | 4.2 | 500 | 0.3966 | 30.4712 | |
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| 0.0264 | 4.62 | 550 | 0.3630 | 27.2041 | |
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| 0.0204 | 5.04 | 600 | 0.3632 | 26.0353 | |
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| 0.0092 | 5.46 | 650 | 0.3448 | 24.4156 | |
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| 0.006 | 5.88 | 700 | 0.3284 | 23.9278 | |
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| 0.002 | 6.3 | 750 | 0.3334 | 23.2836 | |
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| 0.0019 | 6.72 | 800 | 0.3344 | 23.0167 | |
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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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