--- tags: - generated_from_trainer base_model: microsoft/wavlm-base metrics: - wer model-index: - name: wavlm_torgo_0H_1 results: [] --- # wavlm_torgo_0H_1 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: 4.4358 - Wer: 1.0 ## 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: 0.0001 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - num_epochs: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:------:|:-----:|:---------------:|:---:| | 3.6461 | 0.8365 | 2000 | 4.2106 | 1.0 | | 3.5846 | 1.6729 | 4000 | 4.5378 | 1.0 | | 3.563 | 2.5094 | 6000 | 4.9692 | 1.0 | | 3.5338 | 3.3459 | 8000 | 4.5362 | 1.0 | | 3.7176 | 4.1824 | 10000 | 4.3354 | 1.0 | | 3.7041 | 5.0188 | 12000 | 4.4317 | 1.0 | | 3.5544 | 5.8553 | 14000 | 4.3316 | 1.0 | | 3.5242 | 6.6918 | 16000 | 4.4173 | 1.0 | | 3.5293 | 7.5282 | 18000 | 4.4358 | 1.0 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1