Starrail Gender Classification Multi 3epoch

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: starrail-gender-classification-multi-3epoch 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. --> # starrail-gender-classification-multi-3epoch 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: 0.1142 - Accuracy: 0.9639 ## 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: 5e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.2321 | 0.3650 | 50 | 0.2255 | 0.9434 | | 0.1649 | 0.7299 | 100 | 0.1519 | 0.9561 | | 0.1516 | 1.0949 | 150 | 0.1245 | 0.9629 | | 0.1172 | 1.4599 | 200 | 0.1211 | 0.9629 | | 0.1213 | 1.8248 | 250 | 0.1142 | 0.9648 | | 0.1143 | 2.1898 | 300 | 0.1144 | 0.9658 | | 0.1228 | 2.5547 | 350 | 0.1142 | 0.9639 | | 0.1002 | 2.9197 | 400 | 0.1142 | 0.9639 | ### Framework versions - Transformers 4.57.3 - Pytorch 2.9.0+cu126 - Datasets 4.4.2 - Tokenizers 0.22.1

Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo minato-ryan/starrail-gender-classification-multi-3epoch