Cv Age Multi 3epoch

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: cv-age-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. --> # cv-age-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: 1.2474 - Accuracy: 0.5703 ## 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 | |:-------------:|:------:|:----:|:---------------:|:--------:| | 1.791 | 0.1214 | 50 | 1.7097 | 0.4492 | | 1.4512 | 0.2427 | 100 | 1.4715 | 0.4492 | | 1.4028 | 0.3641 | 150 | 1.4398 | 0.4541 | | 1.4328 | 0.4854 | 200 | 1.3781 | 0.5 | | 1.3371 | 0.6068 | 250 | 1.3501 | 0.5225 | | 1.2848 | 0.7282 | 300 | 1.3389 | 0.5117 | | 1.3063 | 0.8495 | 350 | 1.3197 | 0.5381 | | 1.3037 | 0.9709 | 400 | 1.3000 | 0.5332 | | 1.2577 | 1.0922 | 450 | 1.2872 | 0.5547 | | 1.2852 | 1.2136 | 500 | 1.2735 | 0.5684 | | 1.2491 | 1.3350 | 550 | 1.2703 | 0.5635 | | 1.2681 | 1.4563 | 600 | 1.2725 | 0.5527 | | 1.2511 | 1.5777 | 650 | 1.2616 | 0.5605 | | 1.2518 | 1.6990 | 700 | 1.2645 | 0.5586 | | 1.2332 | 1.8204 | 750 | 1.2517 | 0.5732 | | 1.1977 | 1.9417 | 800 | 1.2498 | 0.5674 | | 1.273 | 2.0631 | 850 | 1.2543 | 0.5605 | | 1.2316 | 2.1845 | 900 | 1.2510 | 0.5703 | | 1.2316 | 2.3058 | 950 | 1.2559 | 0.5635 | | 1.2187 | 2.4272 | 1000 | 1.2477 | 0.5732 | | 1.2367 | 2.5485 | 1050 | 1.2473 | 0.5713 | | 1.2246 | 2.6699 | 1100 | 1.2446 | 0.5732 | | 1.2313 | 2.7913 | 1150 | 1.2481 | 0.5703 | | 1.1941 | 2.9126 | 1200 | 1.247...