enhanced_german
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6891
- Accuracy: 0.6667
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.7047 | 0.3333 |
| No log | 2.0 | 2 | 0.6962 | 0.5 |
| No log | 3.0 | 3 | 0.6878 | 0.5833 |
| No log | 4.0 | 4 | 0.6962 | 0.6667 |
| No log | 5.0 | 5 | 0.6954 | 0.6667 |
| No log | 6.0 | 6 | 0.6951 | 0.5833 |
| No log | 7.0 | 7 | 0.6922 | 0.5833 |
| No log | 8.0 | 8 | 0.6907 | 0.5833 |
| No log | 9.0 | 9 | 0.6899 | 0.5833 |
| 0.3093 | 10.0 | 10 | 0.6891 | 0.6667 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
facebook/wav2vec2-base