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--- |
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language: |
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- dv |
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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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- dv |
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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-dhivehi |
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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: dv |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 26.91 |
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- name: Test CER |
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type: cer |
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value: 4.02 |
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--- |
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# sammy786/wav2vec2-xlsr-dhivehi |
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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 - dv 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: 14.86 |
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- Wer: 29.32 |
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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: 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 | 4.883800 | 3.190218 | 1.000000 | |
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| 400 | 1.600100 | 0.497887 | 0.726159 | |
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| 600 | 0.928500 | 0.358781 | 0.603892 | |
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| 800 | 0.867900 | 0.309132 | 0.570786 | |
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| 1000 | 0.743100 | 0.309116 | 0.552954 | |
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| 1200 | 0.725100 | 0.266839 | 0.538378 | |
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| 1400 | 0.786200 | 0.259797 | 0.535897 | |
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| 1600 | 0.655700 | 0.245691 | 0.517290 | |
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| 1800 | 0.650500 | 0.246957 | 0.516204 | |
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| 2000 | 0.685500 | 0.234808 | 0.516204 | |
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| 2200 | 0.487100 | 0.228409 | 0.507753 | |
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| 2400 | 0.401300 | 0.221087 | 0.495968 | |
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| 2600 | 0.359300 | 0.212476 | 0.489301 | |
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| 2800 | 0.347300 | 0.204848 | 0.487750 | |
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| 3000 | 0.327000 | 0.203163 | 0.478756 | |
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| 3200 | 0.337100 | 0.210235 | 0.487595 | |
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| 3400 | 0.308900 | 0.201471 | 0.491316 | |
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| 3600 | 0.292600 | 0.192437 | 0.476120 | |
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| 3800 | 0.289600 | 0.198398 | 0.468445 | |
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| 4000 | 0.290200 | 0.193484 | 0.467204 | |
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| 4200 | 0.272600 | 0.193999 | 0.470150 | |
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| 4400 | 0.266700 | 0.187384 | 0.460769 | |
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| 4600 | 0.253800 | 0.187279 | 0.476663 | |
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| 4800 | 0.266400 | 0.197395 | 0.466817 | |
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| 5000 | 0.258000 | 0.188920 | 0.456660 | |
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| 5200 | 0.237200 | 0.180770 | 0.457358 | |
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| 5400 | 0.237900 | 0.178149 | 0.448287 | |
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| 5600 | 0.232600 | 0.179827 | 0.461002 | |
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| 5800 | 0.228500 | 0.182142 | 0.445185 | |
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| 6000 | 0.221000 | 0.173619 | 0.440688 | |
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| 6200 | 0.219500 | 0.172291 | 0.442859 | |
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| 6400 | 0.219400 | 0.173339 | 0.430609 | |
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| 6600 | 0.201900 | 0.177552 | 0.426423 | |
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| 6800 | 0.199000 | 0.173157 | 0.429834 | |
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| 7000 | 0.200000 | 0.166503 | 0.423709 | |
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| 7200 | 0.194600 | 0.171812 | 0.429834 | |
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| 7400 | 0.192100 | 0.164989 | 0.420530 | |
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| 7600 | 0.185000 | 0.168355 | 0.418825 | |
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| 7800 | 0.175100 | 0.168128 | 0.419290 | |
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| 8000 | 0.173500 | 0.167959 | 0.424950 | |
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| 8200 | 0.172200 | 0.173643 | 0.414793 | |
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| 8400 | 0.164200 | 0.167020 | 0.406342 | |
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| 8600 | 0.170800 | 0.168050 | 0.405334 | |
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| 8800 | 0.157900 | 0.164290 | 0.396573 | |
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| 9000 | 0.159900 | 0.163188 | 0.397426 | |
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| 9200 | 0.151700 | 0.164370 | 0.390991 | |
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| 9400 | 0.146600 | 0.165053 | 0.392852 | |
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| 9600 | 0.142200 | 0.164939 | 0.391844 | |
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| 9800 | 0.148300 | 0.164422 | 0.385719 | |
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| 10000 | 0.136200 | 0.166569 | 0.385951 | |
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| 10200 | 0.140700 | 0.161377 | 0.379594 | |
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| 10400 | 0.133300 | 0.165194 | 0.378276 | |
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| 10600 | 0.131300 | 0.164328 | 0.369205 | |
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| 10800 | 0.135500 | 0.160254 | 0.373236 | |
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| 11000 | 0.121100 | 0.163522 | 0.372693 | |
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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-dhivehi --dataset mozilla-foundation/common_voice_8_0 --config dv --split test |
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``` |
