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--- |
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language: |
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- tt |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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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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- tt |
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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-tatar |
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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: tt |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 16.87 |
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- name: Test CER |
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type: cer |
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value: 3.64 |
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--- |
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# sammy786/wav2vec2-xlsr-tatar |
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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 - tt 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: 7.66 |
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- Wer: 7.08 |
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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 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: 16 |
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- eval_batch_size: 16 |
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- seed: 13 |
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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: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 40 |
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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 | 4.849400 | 1.874908 | 0.995232 | |
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| 400 | 1.105700 | 0.257292 | 0.367658 | |
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| 600 | 0.723000 | 0.181150 | 0.250513 | |
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| 800 | 0.660600 | 0.167009 | 0.226078 | |
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| 1000 | 0.568000 | 0.135090 | 0.177339 | |
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| 1200 | 0.721200 | 0.117469 | 0.166413 | |
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| 1400 | 0.416300 | 0.115142 | 0.153765 | |
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| 1600 | 0.346000 | 0.105782 | 0.153963 | |
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| 1800 | 0.279700 | 0.102452 | 0.146149 | |
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| 2000 | 0.273800 | 0.095818 | 0.128468 | |
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| 2200 | 0.252900 | 0.102302 | 0.133766 | |
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| 2400 | 0.255100 | 0.096592 | 0.121316 | |
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| 2600 | 0.229600 | 0.091263 | 0.124561 | |
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| 2800 | 0.213900 | 0.097748 | 0.125687 | |
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| 3000 | 0.210700 | 0.091244 | 0.125422 | |
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| 3200 | 0.202600 | 0.084076 | 0.106284 | |
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| 3400 | 0.200900 | 0.093809 | 0.113238 | |
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| 3600 | 0.192700 | 0.082918 | 0.108139 | |
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| 3800 | 0.182000 | 0.084487 | 0.103371 | |
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| 4000 | 0.167700 | 0.091847 | 0.104960 | |
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| 4200 | 0.183700 | 0.085223 | 0.103040 | |
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| 4400 | 0.174400 | 0.083862 | 0.100589 | |
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| 4600 | 0.163100 | 0.086493 | 0.099728 | |
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| 4800 | 0.162000 | 0.081734 | 0.097543 | |
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| 5000 | 0.153600 | 0.077223 | 0.092974 | |
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| 5200 | 0.153700 | 0.086217 | 0.090789 | |
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| 5400 | 0.140200 | 0.093256 | 0.100457 | |
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| 5600 | 0.142900 | 0.086903 | 0.097742 | |
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| 5800 | 0.131400 | 0.083068 | 0.095225 | |
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| 6000 | 0.126000 | 0.086642 | 0.091252 | |
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| 6200 | 0.135300 | 0.083387 | 0.091186 | |
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| 6400 | 0.126100 | 0.076479 | 0.086352 | |
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| 6600 | 0.127100 | 0.077868 | 0.086153 | |
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| 6800 | 0.118000 | 0.083878 | 0.087676 | |
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| 7000 | 0.117600 | 0.085779 | 0.091054 | |
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| 7200 | 0.113600 | 0.084197 | 0.084233 | |
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| 7400 | 0.112000 | 0.078688 | 0.081319 | |
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| 7600 | 0.110200 | 0.082534 | 0.086087 | |
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| 7800 | 0.106400 | 0.077245 | 0.080988 | |
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| 8000 | 0.102300 | 0.077497 | 0.079332 | |
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| 8200 | 0.109500 | 0.079083 | 0.088339 | |
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| 8400 | 0.095900 | 0.079721 | 0.077809 | |
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| 8600 | 0.094700 | 0.079078 | 0.079730 | |
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| 8800 | 0.097400 | 0.078785 | 0.079200 | |
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| 9000 | 0.093200 | 0.077445 | 0.077015 | |
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| 9200 | 0.088700 | 0.078207 | 0.076617 | |
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| 9400 | 0.087200 | 0.078982 | 0.076485 | |
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| 9600 | 0.089900 | 0.081209 | 0.076021 | |
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| 9800 | 0.081900 | 0.078158 | 0.075757 | |
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| 10000 | 0.080200 | 0.078074 | 0.074498 | |
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| 10200 | 0.085000 | 0.078830 | 0.073373 | |
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| 10400 | 0.080400 | 0.078144 | 0.073373 | |
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| 10600 | 0.078200 | 0.077163 | 0.073902 | |
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| 10800 | 0.080900 | 0.076394 | 0.072446 | |
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| 11000 | 0.080700 | 0.075955 | 0.071585 | |
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| 11200 | 0.076800 | 0.077031 | 0.072313 | |
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| 11400 | 0.076300 | 0.077401 | 0.072777 | |
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| 11600 | 0.076700 | 0.076613 | 0.071916 | |
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| 11800 | 0.076000 | 0.076672 | 0.071916 | |
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| 12000 | 0.077200 | 0.076490 | 0.070989 | |
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| 12200 | 0.076200 | 0.076688 | 0.070856 | |
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| 12400 | 0.074400 | 0.076780 | 0.071055 | |
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| 12600 | 0.076300 | 0.076768 | 0.071320 | |
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| 12800 | 0.077600 | 0.076727 | 0.071055 | |
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| 13000 | 0.077700 | 0.076714 | 0.071254 | |
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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-tatar --dataset mozilla-foundation/common_voice_8_0 --config tt --split test |
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``` |
