german_pretrained
This model is a fine-tuned version of flozi00/wav2vec-xlsr-german on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9812
- 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 5
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 12.5229 | 5.0 | 5 | 12.9520 | 1.0 |
| 4.3782 | 10.0 | 10 | 5.5689 | 1.0 |
| 2.56 | 15.0 | 15 | 4.8410 | 1.0 |
| 2.2895 | 20.0 | 20 | 4.0380 | 1.0 |
| 1.872 | 25.0 | 25 | 3.9558 | 1.0 |
| 1.6992 | 30.0 | 30 | 3.9812 | 1.0 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu102
- Datasets 1.13.3
- Tokenizers 0.10.3
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.