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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: None |
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metrics: |
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- name: Wer |
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type: wer |
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value: 24.28676605926744 |
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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: 0.3108 |
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- Wer: 24.2868 |
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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: 8 |
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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: 16 |
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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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| 0.7157 | 0.21 | 50 | 0.4892 | 42.8216 | |
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| 0.6314 | 0.42 | 100 | 0.6716 | 58.7153 | |
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| 0.6187 | 0.63 | 150 | 0.5979 | 47.1195 | |
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| 0.5396 | 0.84 | 200 | 0.5503 | 45.8126 | |
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| 0.4857 | 1.05 | 250 | 0.5842 | 42.9873 | |
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| 0.246 | 1.26 | 300 | 0.5526 | 43.8984 | |
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| 0.2635 | 1.47 | 350 | 0.4893 | 39.4994 | |
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| 0.2346 | 1.68 | 400 | 0.4657 | 36.8489 | |
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| 0.2268 | 1.89 | 450 | 0.4163 | 34.5113 | |
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| 0.1345 | 2.11 | 500 | 0.4152 | 30.9590 | |
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| 0.0862 | 2.32 | 550 | 0.4157 | 32.6063 | |
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| 0.0723 | 2.53 | 600 | 0.3942 | 29.5785 | |
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| 0.0667 | 2.74 | 650 | 0.3654 | 28.3913 | |
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| 0.0571 | 2.95 | 700 | 0.3235 | 25.8513 | |
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| 0.0241 | 3.16 | 750 | 0.3109 | 25.0874 | |
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| 0.0124 | 3.37 | 800 | 0.3108 | 24.2868 | |
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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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