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--- |
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language: |
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- de |
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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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- robust-speech-event |
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- de |
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datasets: |
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- common_voice |
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model-index: |
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- name: 'XLS-R-1B - German' |
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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: de |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 16.12 |
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- name: Test CER |
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type: cer |
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value: 4.023836120707133 |
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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: de |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 36.76 |
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- name: Test CER |
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type: cer |
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value: 14.03 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# |
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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 - DE dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1476 |
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- Wer: 0.1612 |
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## Model description |
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More information needed |
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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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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7.5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: linear |
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- lr_scheduler_warmup_steps: 2000 |
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- num_epochs: 2.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 1.1842 | 0.07 | 1000 | 0.4461 | 0.4918 | |
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| 1.1317 | 0.15 | 2000 | 0.2669 | 0.2748 | |
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| 1.1029 | 0.22 | 3000 | 0.2638 | 0.2706 | |
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| 1.0949 | 0.29 | 4000 | 0.2519 | 0.2627 | |
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| 1.0923 | 0.37 | 5000 | 0.2475 | 0.2577 | |
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| 1.0847 | 0.44 | 6000 | 0.2436 | 0.2612 | |
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| 1.0667 | 0.51 | 7000 | 0.2472 | 0.2661 | |
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| 1.0709 | 0.59 | 8000 | 0.2489 | 0.2610 | |
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| 1.0472 | 0.66 | 9000 | 0.2354 | 0.2500 | |
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| 1.0604 | 0.73 | 10000 | 0.2346 | 0.2485 | |
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| 1.0375 | 0.81 | 11000 | 0.2286 | 0.2390 | |
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| 1.0193 | 0.88 | 12000 | 0.2212 | 0.2338 | |
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| 1.0077 | 0.95 | 13000 | 0.2152 | 0.2269 | |
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| 1.0004 | 1.03 | 14000 | 0.2093 | 0.2207 | |
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| 0.9649 | 1.1 | 15000 | 0.1993 | 0.2113 | |
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| 0.9509 | 1.17 | 16000 | 0.1934 | 0.2089 | |
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| 0.9533 | 1.25 | 17000 | 0.1874 | 0.2023 | |
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| 0.9248 | 1.32 | 18000 | 0.1818 | 0.1974 | |
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| 0.9216 | 1.39 | 19000 | 0.1776 | 0.1926 | |
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| 0.8964 | 1.47 | 20000 | 0.1722 | 0.1904 | |
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| 0.8941 | 1.54 | 21000 | 0.1690 | 0.1852 | |
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| 0.871 | 1.61 | 22000 | 0.1627 | 0.1781 | |
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| 0.847 | 1.69 | 23000 | 0.1591 | 0.1751 | |
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| 0.822 | 1.76 | 24000 | 0.1551 | 0.1701 | |
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| 0.8188 | 1.83 | 25000 | 0.1528 | 0.1667 | |
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| 0.8305 | 1.91 | 26000 | 0.1492 | 0.1631 | |
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| 0.8122 | 1.98 | 27000 | 0.1479 | 0.1611 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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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 AndrewMcDowell/wav2vec2-xls-r-1B-german-de --dataset mozilla-foundation/common_voice_8_0 --config de --split test --log_outputs |
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``` |
