| --- |
| base_model: microsoft/wavlm-base |
| tags: |
| - audio-classification |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: wavlm-base_3 |
| 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. --> |
|
|
| # wavlm-base_3 |
| |
| This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6534 |
| - Accuracy: 0.8974 |
| |
| ## 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: 2 |
| - seed: 0 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.2236 | 1.24 | 100 | 12.8495 | 0.4467 | |
| | 0.0514 | 2.48 | 200 | 16.3078 | 0.2677 | |
| | 0.0 | 3.72 | 300 | 17.5651 | 0.2597 | |
| | 0.3252 | 4.95 | 400 | 15.0382 | 0.1912 | |
| | 1.0577 | 6.19 | 500 | 0.6534 | 0.8974 | |
| | 0.6973 | 7.43 | 600 | 0.7352 | 0.1026 | |
| | 0.6939 | 8.67 | 700 | 0.6210 | 0.8974 | |
| | 0.6944 | 9.91 | 800 | 0.7129 | 0.1026 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.34.0.dev0 |
| - Pytorch 2.0.0.post302 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
| |
