metadata
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of 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: 0.1355
- Wer: 0.1532
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: 2.5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0826 | 0.07 | 1000 | 0.4637 | 0.4654 |
| 1.118 | 0.15 | 2000 | 0.2595 | 0.2687 |
| 1.1268 | 0.22 | 3000 | 0.2635 | 0.2661 |
| 1.0919 | 0.29 | 4000 | 0.2417 | 0.2566 |
| 1.1013 | 0.37 | 5000 | 0.2414 | 0.2567 |
| 1.0898 | 0.44 | 6000 | 0.2546 | 0.2731 |
| 1.0808 | 0.51 | 7000 | 0.2399 | 0.2535 |
| 1.0719 | 0.59 | 8000 | 0.2353 | 0.2528 |
| 1.0446 | 0.66 | 9000 | 0.2427 | 0.2545 |
| 1.0347 | 0.73 | 10000 | 0.2266 | 0.2402 |
| 1.0457 | 0.81 | 11000 | 0.2290 | 0.2448 |
| 1.0124 | 0.88 | 12000 | 0.2295 | 0.2448 |
| 1.025 | 0.95 | 13000 | 0.2138 | 0.2345 |
| 1.0107 | 1.03 | 14000 | 0.2108 | 0.2294 |
| 0.9758 | 1.1 | 15000 | 0.2019 | 0.2204 |
| 0.9547 | 1.17 | 16000 | 0.2000 | 0.2178 |
| 0.986 | 1.25 | 17000 | 0.2018 | 0.2200 |
| 0.9588 | 1.32 | 18000 | 0.1992 | 0.2138 |
| 0.9413 | 1.39 | 19000 | 0.1898 | 0.2049 |
| 0.9339 | 1.47 | 20000 | 0.1874 | 0.2056 |
| 0.9268 | 1.54 | 21000 | 0.1797 | 0.1976 |
| 0.9194 | 1.61 | 22000 | 0.1743 | 0.1905 |
| 0.8987 | 1.69 | 23000 | 0.1738 | 0.1932 |
| 0.8884 | 1.76 | 24000 | 0.1703 | 0.1873 |
| 0.8939 | 1.83 | 25000 | 0.1633 | 0.1831 |
| 0.8629 | 1.91 | 26000 | 0.1549 | 0.1750 |
| 0.8607 | 1.98 | 27000 | 0.1550 | 0.1738 |
| 0.8316 | 2.05 | 28000 | 0.1512 | 0.1709 |
| 0.8321 | 2.13 | 29000 | 0.1481 | 0.1657 |
| 0.825 | 2.2 | 30000 | 0.1446 | 0.1627 |
| 0.8115 | 2.27 | 31000 | 0.1396 | 0.1583 |
| 0.7959 | 2.35 | 32000 | 0.1389 | 0.1569 |
| 0.7835 | 2.42 | 33000 | 0.1362 | 0.1545 |
| 0.7959 | 2.49 | 34000 | 0.1355 | 0.1531 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0