|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: wav2vec2-xls-r-1b-german |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# wav2vec2-xls-r-1b-german |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3459 |
|
- Wer: 0.2915 |
|
|
|
## 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: 3e-07 |
|
- train_batch_size: 48 |
|
- eval_batch_size: 48 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 96 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 2.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.2009 | 1.0 | 4816 | 0.3486 | 0.2940 | |
|
| 0.1637 | 2.0 | 9632 | 0.3459 | 0.2915 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.21.3 |
|
- Pytorch 1.12.1 |
|
- Datasets 2.4.0 |
|
- Tokenizers 0.12.1 |
|
|
