wav2vec2-100m-mls-german-ft
This model is a fine-tuned version of facebook/wav2vec2-xls-r-100m on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset. It achieves the following results on the evaluation set:
- Loss: 2.9325
- Wer: 1.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.2135 | 14.29 | 500 | 8.4258 | 1.0 |
| 3.0031 | 28.57 | 1000 | 2.9839 | 1.0 |
| 2.9661 | 42.86 | 1500 | 2.9402 | 1.0 |
| 2.9584 | 57.14 | 2000 | 2.9354 | 1.0 |
| 2.936 | 71.43 | 2500 | 2.9341 | 1.0 |
| 2.9344 | 85.71 | 3000 | 2.9323 | 1.0 |
| 2.9674 | 100.0 | 3500 | 2.9325 | 1.0 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3