| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: enhanced_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. --> |
|
|
| # enhanced_german |
| |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/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 |
| |
