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Error:
"language[0]" with value "rm-vallader" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
sammy786/wav2vec2-xlsr-romansh_vallader
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - rm-vallader dataset. It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
- Loss: 30.31
- Wer: 26.32
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: 40
- mixed_precision_training: Native AMP
Training results
Step | Training Loss | Validation Loss | Wer |
---|---|---|---|
200 | 5.895100 | 3.136624 | 0.999713 |
400 | 1.545700 | 0.445069 | 0.471584 |
600 | 0.693900 | 0.340700 | 0.363088 |
800 | 0.510600 | 0.295432 | 0.289610 |
1000 | 0.318800 | 0.286795 | 0.281860 |
1200 | 0.194000 | 0.307468 | 0.274110 |
1400 | 0.151800 | 0.304849 | 0.264351 |
1600 | 0.148300 | 0.303112 | 0.263203 |
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_0
with splittest
python eval.py --model_id sammy786/wav2vec2-xlsr-romansh_vallader --dataset mozilla-foundation/common_voice_8_0 --config rm-vallader --split test
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Dataset used to train sammy786/wav2vec2-xlsr-romansh_vallader
Evaluation results
- Test WER on Common Voice 8self-reported28.540
- Test CER on Common Voice 8self-reported6.570