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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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tags: |
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- automatic-speech-recognition |
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- fi |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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- model_for_talk |
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- mozilla-foundation/common_voice_8_0 |
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- robust-speech-event |
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datasets: |
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- mozilla-foundation/common_voice_8_0 |
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model-index: |
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- name: sammy786/wav2vec2-xlsr-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 8 |
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type: mozilla-foundation/common_voice_8_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: 13.72 |
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- name: Test CER |
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type: cer |
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value: 2.35 |
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--- |
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# sammy786/wav2vec2-xlsr-finnish |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - fi dataset. |
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It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets): |
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- Loss: 8.7555 |
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- Wer: 23.0231 |
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## Model description |
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"facebook/wav2vec2-xls-r-1b" was finetuned. |
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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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Training data - |
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Common voice Finnish train.tsv, dev.tsv, invalidated.tsv and other.tsv |
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## Training procedure |
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For creating the train dataset, all possible datasets were appended and 90-10 split was used. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.000045637994662983496 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 13 |
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- gradient_accumulation_steps: 4 |
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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: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Step | Training Loss | Validation Loss | Wer | |
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|:----:|:-------------:|:---------------:|:--------:| |
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| 200 | 4.253700 | 0.881733 | 0.967007 | |
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| 400 | 0.864800 | 0.226977 | 0.420836 | |
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| 600 | 0.607000 | 0.157473 | 0.343375 | |
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| 800 | 0.380200 | 0.145640 | 0.302672 | |
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| 1000 | 0.318400 | 0.128028 | 0.293886 | |
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| 1200 | 0.261100 | 0.121414 | 0.289941 | |
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| 1400 | 0.232300 | 0.113451 | 0.279182 | |
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| 1600 | 0.216600 | 0.113649 | 0.282948 | |
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| 1800 | 0.202500 | 0.112375 | 0.276134 | |
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| 2000 | 0.190000 | 0.105725 | 0.273803 | |
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| 2200 | 0.171000 | 0.109715 | 0.270755 | |
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| 2400 | 0.156500 | 0.105042 | 0.264300 | |
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| 2600 | 0.155600 | 0.108337 | 0.260714 | |
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| 2800 | 0.149100 | 0.112435 | 0.263583 | |
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| 3000 | 0.145100 | 0.106193 | 0.261969 | |
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| 3200 | 0.131700 | 0.102860 | 0.251210 | |
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| 3400 | 0.129100 | 0.096058 | 0.246907 | |
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| 3600 | 0.121600 | 0.099932 | 0.246369 | |
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| 3800 | 0.112000 | 0.099041 | 0.244397 | |
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| 4000 | 0.114100 | 0.101566 | 0.242604 | |
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| 4200 | 0.111500 | 0.089498 | 0.239197 | |
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| 4400 | 0.099800 | 0.092835 | 0.240990 | |
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| 4600 | 0.095300 | 0.093518 | 0.238121 | |
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| 4800 | 0.094300 | 0.090783 | 0.240631 | |
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| 5000 | 0.089000 | 0.094046 | 0.238479 | |
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| 5200 | 0.088000 | 0.089342 | 0.235252 | |
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| 5400 | 0.083600 | 0.087770 | 0.234535 | |
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| 5600 | 0.083600 | 0.088804 | 0.234355 | |
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| 5800 | 0.080300 | 0.090168 | 0.231307 | |
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| 6000 | 0.078100 | 0.090163 | 0.230949 | |
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| 6200 | 0.075600 | 0.088876 | 0.232383 | |
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| 6400 | 0.078700 | 0.087235 | 0.232024 | |
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| 6600 | 0.074800 | 0.086825 | 0.231486 | |
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| 6800 | 0.076400 | 0.087308 | 0.231845 | |
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| 7000 | 0.070700 | 0.087695 | 0.230769 | |
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| 7200 | 0.075500 | 0.087555 | 0.230231 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.0+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.10.3 |
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#### Evaluation Commands |
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1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` |
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```bash |
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python eval.py --model_id sammy786/wav2vec2-xlsr-finnish --dataset mozilla-foundation/common_voice_8_0 --config fi --split test |
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``` |
