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wav2vec2-xlsr-Basaa
sammy786/wav2vec2-xlsr-Basaa
wav2vec2-xlsr-Basaa is a automatic speech recognition model from sammy786. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMONVOICE80 - bas dataset. It achieves the following results on evaluation set (which is 10 percent of train data set merged…
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Mar 24, 2022
- SHA
- 8326b66e
Model card
From the Hugging Face model README
sammy786/wav2vec2-xlsr-basaa
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - bas dataset. It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
- Loss: 21.39
- Wer: 30.99
Model description
"facebook/wav2vec2-xls-r-1b" was finetuned.
Intended uses & limitations
More information needed
Training and evaluation data
Training data - Common voice Finnish train.tsv, dev.tsv and other.tsv
Training procedure
For creating the train dataset, all possible datasets were appended and 90-10 split was used.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.000045637994662983496
- train_batch_size: 16
- eval_batch_size: 16
- seed: 13
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- num_epochs: 70
- mixed_precision_training: Native AMP
Training results
| Step | Training Loss | Validation Loss | Wer |
|---|---|---|---|
| 200 | 6.734100 | 1.605006 | 0.980456 |
| 400 | 1.011200 | 0.364686 | 0.442997 |
| 600 | 0.709300 | 0.300204 | 0.377850 |
| 800 | 0.469800 | 0.315612 | 0.405537 |
| 1000 | 0.464700 | 0.352494 | 0.372964 |
| 1200 | 0.421900 | 0.342533 | 0.368078 |
| 1400 | 0.401900 | 0.351398 | 0.343648 |
| 1600 | 0.429800 | 0.350570 | 0.348534 |
| 1800 | 0.352600 | 0.356601 | 0.358306 |
| 2000 | 0.387200 | 0.355814 | 0.356678 |
| 2200 | 0.362400 | 0.345573 | 0.355049 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.10.3
Evaluation Commands
- To evaluate on
mozilla-foundation/common_voice_8_0with splittest
python eval.py --model_id sammy786/wav2vec2-xlsr-basaa --dataset mozilla-foundation/common_voice_8_0 --config bas --split test
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- bas
- Created
- Mar 2, 2022
- Updated
- Mar 24, 2022