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--- |
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language: |
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- cv |
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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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- cv |
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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-chuvash |
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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: cv |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 27.81 |
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- name: Test CER |
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type: cer |
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value: 5.79 |
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--- |
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# sammy786/wav2vec2-xlsr-chuvash |
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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 - cv 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: 18.02 |
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- Wer: 29.22 |
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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 | 6.559100 | 2.274687 | 1.000000 | |
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| 400 | 1.346100 | 0.508268 | 0.681995 | |
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| 600 | 0.797500 | 0.391174 | 0.572876 | |
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| 800 | 0.556300 | 0.308620 | 0.489283 | |
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| 1000 | 0.435800 | 0.273956 | 0.454014 | |
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| 1200 | 0.388700 | 0.311027 | 0.499415 | |
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| 1400 | 0.338300 | 0.243977 | 0.413874 | |
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| 1600 | 0.294000 | 0.214134 | 0.385230 | |
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| 1800 | 0.276000 | 0.245991 | 0.397311 | |
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| 2000 | 0.253900 | 0.208324 | 0.363016 | |
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| 2200 | 0.233600 | 0.222156 | 0.370811 | |
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| 2400 | 0.219700 | 0.202602 | 0.364186 | |
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| 2600 | 0.205000 | 0.241339 | 0.384451 | |
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| 2800 | 0.176000 | 0.263558 | 0.384061 | |
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| 3000 | 0.166700 | 0.211768 | 0.333398 | |
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| 3200 | 0.160600 | 0.198677 | 0.321512 | |
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| 3400 | 0.154600 | 0.208655 | 0.328722 | |
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| 3600 | 0.146800 | 0.188022 | 0.317810 | |
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| 3800 | 0.133200 | 0.181083 | 0.313133 | |
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| 4000 | 0.134200 | 0.190084 | 0.316251 | |
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| 4200 | 0.114200 | 0.193034 | 0.312159 | |
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| 4400 | 0.117300 | 0.194122 | 0.312354 | |
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| 4600 | 0.112300 | 0.191111 | 0.305534 | |
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| 4800 | 0.107800 | 0.185930 | 0.302611 | |
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| 5000 | 0.100400 | 0.178625 | 0.299883 | |
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| 5200 | 0.099800 | 0.176442 | 0.294622 | |
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| 5400 | 0.100800 | 0.177935 | 0.294427 | |
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| 5600 | 0.096300 | 0.182903 | 0.293843 | |
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| 5800 | 0.094200 | 0.181041 | 0.293453 | |
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| 6000 | 0.097600 | 0.179865 | 0.290725 | |
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| 6200 | 0.091600 | 0.180327 | 0.292868 | |
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| 6400 | 0.093100 | 0.180275 | 0.292284 | |
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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-chuvash --dataset mozilla-foundation/common_voice_8_0 --config cv --split test |
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``` |
