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--- |
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language: |
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- rm-sursilv |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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- rm-sursilv |
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- robust-speech-event |
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- model_for_talk |
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- hf-asr-leaderboard |
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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-romansh_sursilvan |
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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: rm-sursilv |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 13.82 |
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- name: Test CER |
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type: cer |
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value: 3.02 |
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--- |
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# sammy786/wav2vec2-xlsr-romansh_sursilvan |
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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 - rm-sursilv 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: 16.38 |
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- Wer: 21.25 |
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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 | 4.825500 | 2.932350 | 1.000000 | |
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| 400 | 1.325600 | 0.292645 | 0.415436 | |
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| 600 | 0.709800 | 0.219167 | 0.324451 | |
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| 800 | 0.576800 | 0.174390 | 0.275477 | |
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| 1000 | 0.538100 | 0.183737 | 0.272116 | |
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| 1200 | 0.475200 | 0.159078 | 0.253871 | |
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| 1400 | 0.420400 | 0.167277 | 0.240907 | |
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| 1600 | 0.393500 | 0.167216 | 0.247269 | |
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| 1800 | 0.407500 | 0.178282 | 0.239827 | |
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| 2000 | 0.374400 | 0.184590 | 0.239467 | |
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| 2200 | 0.382600 | 0.164106 | 0.227824 | |
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| 2400 | 0.363100 | 0.162543 | 0.228544 | |
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| 2600 | 0.199000 | 0.172903 | 0.231665 | |
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| 2800 | 0.150800 | 0.160117 | 0.222662 | |
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| 3000 | 0.101100 | 0.169553 | 0.222662 | |
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| 3200 | 0.104200 | 0.161056 | 0.220622 | |
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| 3400 | 0.096900 | 0.161562 | 0.216781 | |
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| 3600 | 0.092200 | 0.163880 | 0.212580 | |
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| 3800 | 0.089200 | 0.162288 | 0.214140 | |
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| 4000 | 0.076200 | 0.160470 | 0.213540 | |
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| 4200 | 0.087900 | 0.162827 | 0.213060 | |
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| 4400 | 0.066200 | 0.161096 | 0.213300 | |
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| 4600 | 0.076000 | 0.162060 | 0.213660 | |
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| 4800 | 0.071400 | 0.162045 | 0.213300 | |
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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-romansh_sursilvan --dataset mozilla-foundation/common_voice_8_0 --config rm-sursilv --split test |
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``` |
