| --- |
| base_model: /home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700 |
| tags: |
| - audio-classification |
| - generated_from_trainer |
| model-index: |
| - name: wavlm-base_2_predict |
| 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_2_predict |
|
|
| This model is a fine-tuned version of [/home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700](https://huggingface.co//home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.3326 |
| - eval_accuracy: 0.8974 |
| - eval_runtime: 502.5226 |
| - eval_samples_per_second: 49.439 |
| - eval_steps_per_second: 24.719 |
| - step: 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: 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: 50.0 |
| |
| ### Framework versions |
| |
| - Transformers 4.34.0.dev0 |
| - Pytorch 2.0.0.post302 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
| |
