--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - mozilla-foundation/common_voice_8_0 - generated_from_trainer - robust-speech-event - de datasets: - common_voice model-index: - name: 'XLS-R-1B - German' results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Common Voice 8 type: mozilla-foundation/common_voice_8_0 args: de metrics: - name: Test WER type: wer value: 16.12 - name: Test CER type: cer value: 4.023836120707133 - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Robust Speech Event - Dev Data type: speech-recognition-community-v2/dev_data args: de metrics: - name: Test WER type: wer value: 36.76 - name: Test CER type: cer value: 14.03 --- # 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. It achieves the following results on the evaluation set: - Loss: 0.1476 - Wer: 0.1612 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 7.5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2000 - num_epochs: 2.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:-----:|:---------------:|:------:| | 1.1842 | 0.07 | 1000 | 0.4461 | 0.4918 | | 1.1317 | 0.15 | 2000 | 0.2669 | 0.2748 | | 1.1029 | 0.22 | 3000 | 0.2638 | 0.2706 | | 1.0949 | 0.29 | 4000 | 0.2519 | 0.2627 | | 1.0923 | 0.37 | 5000 | 0.2475 | 0.2577 | | 1.0847 | 0.44 | 6000 | 0.2436 | 0.2612 | | 1.0667 | 0.51 | 7000 | 0.2472 | 0.2661 | | 1.0709 | 0.59 | 8000 | 0.2489 | 0.2610 | | 1.0472 | 0.66 | 9000 | 0.2354 | 0.2500 | | 1.0604 | 0.73 | 10000 | 0.2346 | 0.2485 | | 1.0375 | 0.81 | 11000 | 0.2286 | 0.2390 | | 1.0193 | 0.88 | 12000 | 0.2212 | 0.2338 | | 1.0077 | 0.95 | 13000 | 0.2152 | 0.2269 | | 1.0004 | 1.03 | 14000 | 0.2093 | 0.2207 | | 0.9649 | 1.1 | 15000 | 0.1993 | 0.2113 | | 0.9509 | 1.17 | 16000 | 0.1934 | 0.2089 | | 0.9533 | 1.25 | 17000 | 0.1874 | 0.2023 | | 0.9248 | 1.32 | 18000 | 0.1818 | 0.1974 | | 0.9216 | 1.39 | 19000 | 0.1776 | 0.1926 | | 0.8964 | 1.47 | 20000 | 0.1722 | 0.1904 | | 0.8941 | 1.54 | 21000 | 0.1690 | 0.1852 | | 0.871 | 1.61 | 22000 | 0.1627 | 0.1781 | | 0.847 | 1.69 | 23000 | 0.1591 | 0.1751 | | 0.822 | 1.76 | 24000 | 0.1551 | 0.1701 | | 0.8188 | 1.83 | 25000 | 0.1528 | 0.1667 | | 0.8305 | 1.91 | 26000 | 0.1492 | 0.1631 | | 0.8122 | 1.98 | 27000 | 0.1479 | 0.1611 | ### Framework versions - Transformers 4.17.0.dev0 - Pytorch 1.10.2+cu102 - Datasets 1.18.2.dev0 - Tokenizers 0.11.0 #### Evaluation Commands 1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` ```bash 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 ```