metadata
license: apache-2.0
tags:
- automatic-speech-recognition
- multilingual_librispeech
- generated_from_trainer
datasets:
- multilingual_librispeech
model-index:
- name: wav2vec2-300m-mls-german-ft
results: []
wav2vec2-300m-mls-german-ft
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.2157
- Wer: 0.1562
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|
| 3.0132 | 7.25 | 500 | 2.9393 | 1.0 |
| 2.9241 | 14.49 | 1000 | 2.8734 | 1.0 |
| 1.0766 | 21.74 | 1500 | 0.2773 | 0.2488 |
| 0.8416 | 28.99 | 2000 | 0.2224 | 0.1990 |
| 0.8048 | 36.23 | 2500 | 0.2063 | 0.1792 |
| 0.7664 | 43.48 | 3000 | 0.2088 | 0.1748 |
| 0.6571 | 50.72 | 3500 | 0.2042 | 0.1668 |
| 0.7014 | 57.97 | 4000 | 0.2136 | 0.1649 |
| 0.6171 | 65.22 | 4500 | 0.2139 | 0.1641 |
| 0.6609 | 72.46 | 5000 | 0.2144 | 0.1621 |
| 0.6318 | 79.71 | 5500 | 0.2129 | 0.1600 |
| 0.6222 | 86.96 | 6000 | 0.2124 | 0.1582 |
| 0.588 | 94.2 | 6500 | 0.2143 | 0.1560 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3