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--- |
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language: fi |
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datasets: |
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- mozilla-foundation/common_voice_7_0 |
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metrics: |
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- wer |
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- cer |
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tags: |
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- generated_from_trainer |
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- mozilla-foundation/common_voice_7_0 |
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- audio |
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- automatic-speech-recognition |
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- speech |
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- robust-speech-event |
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- hf-asr-leaderboard |
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model-index: |
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- name: XLS-R 1B Wav2Vec2 Finnish by Rasmus Toivanen |
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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 7 |
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type: mozilla-foundation/common_voice_7_0 |
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args: fi |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 10.96 |
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- name: Test CER |
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type: cer |
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value: 2.81 |
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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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# wav2vec2-xlsr-fi-train-aug-lm-1B |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1499 |
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- Wer: 0.1955 |
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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: 100 |
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- num_epochs: 4 |
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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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| 0.6473 | 0.29 | 400 | 0.2857 | 0.3825 | |
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| 0.6039 | 0.58 | 800 | 0.2459 | 0.3476 | |
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| 0.4757 | 0.87 | 1200 | 0.2338 | 0.3274 | |
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| 0.4473 | 1.15 | 1600 | 0.2246 | 0.3128 | |
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| 0.4322 | 1.44 | 2000 | 0.1962 | 0.2805 | |
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| 0.3961 | 1.73 | 2400 | 0.2070 | 0.2797 | |
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| 0.3642 | 2.02 | 2800 | 0.1790 | 0.2473 | |
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| 0.3561 | 2.31 | 3200 | 0.1769 | 0.2375 | |
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| 0.282 | 2.6 | 3600 | 0.1672 | 0.2263 | |
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| 0.2978 | 2.89 | 4000 | 0.1636 | 0.2192 | |
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| 0.2722 | 3.17 | 4400 | 0.1637 | 0.2102 | |
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| 0.2924 | 3.46 | 4800 | 0.1506 | 0.2021 | |
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| 0.2631 | 3.75 | 5200 | 0.1499 | 0.1955 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.11.0 |
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