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--- |
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language: |
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- et |
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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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- et |
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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-estonian |
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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: et |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 23.61 |
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- name: Test CER |
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type: cer |
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value: 4.6 |
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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: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: et |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 61.83 |
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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: Robust Speech Event - Test Data |
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type: speech-recognition-community-v2/eval_data |
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args: et |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 67.43 |
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--- |
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# sammy786/wav2vec2-xlsr-estonian |
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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 - et 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: 17.94 |
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- Wer: 30.38 |
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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: 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: 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 | 3.729100 | 1.096018 | 0.959867 | |
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| 400 | 0.996900 | 0.310228 | 0.443600 | |
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| 600 | 0.762900 | 0.210873 | 0.346117 | |
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| 800 | 0.621400 | 0.200381 | 0.331513 | |
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| 1000 | 0.408000 | 0.196382 | 0.322014 | |
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| 1200 | 0.320200 | 0.176281 | 0.312515 | |
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| 1400 | 0.315300 | 0.179433 | 0.303847 | |
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| 1600 | 0.445800 | 0.420985 | 0.315839 | |
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| 1800 | 0.644600 | 0.433833 | 0.354904 | |
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| 2000 | 0.550900 | 0.327117 | 0.336500 | |
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| 2200 | 0.498600 | 0.289830 | 0.325457 | |
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| 2400 | 0.488300 | 0.294309 | 0.314177 | |
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| 2600 | 0.491700 | 0.311175 | 0.318689 | |
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| 2800 | 0.508500 | 0.314744 | 0.320470 | |
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| 3000 | 0.499900 | 0.314834 | 0.320589 | |
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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-estonian --dataset mozilla-foundation/common_voice_8_0 --config et --split test |
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``` |
