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--- |
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language: |
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- rm-vallader |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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- model_for_talk |
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- mozilla-foundation/common_voice_8_0 |
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- rm-vallader |
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- robust-speech-event |
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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_vallader |
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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-vallader |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 28.54 |
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- name: Test CER |
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type: cer |
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value: 6.57 |
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--- |
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# sammy786/wav2vec2-xlsr-romansh_vallader |
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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-vallader 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: 30.31 |
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- Wer: 26.32 |
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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: 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 | 5.895100 | 3.136624 | 0.999713 | |
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| 400 | 1.545700 | 0.445069 | 0.471584 | |
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| 600 | 0.693900 | 0.340700 | 0.363088 | |
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| 800 | 0.510600 | 0.295432 | 0.289610 | |
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| 1000 | 0.318800 | 0.286795 | 0.281860 | |
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| 1200 | 0.194000 | 0.307468 | 0.274110 | |
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| 1400 | 0.151800 | 0.304849 | 0.264351 | |
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| 1600 | 0.148300 | 0.303112 | 0.263203 | |
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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_vallader --dataset mozilla-foundation/common_voice_8_0 --config rm-vallader --split test |
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``` |
