--- license: apache-2.0 base_model: facebook/wav2vec2-large-xlsr-53 tags: - generated_from_trainer metrics: - accuracy model-index: - name: emotions_xls53_6_classes results: [] --- # emotions_xls53_6_classes This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8000 - Accuracy: 0.7678 ## 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: 3e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - 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 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.6892 | 0.99 | 76 | 0.8018 | 0.7346 | | 0.6611 | 2.0 | 153 | 0.7451 | 0.7482 | | 0.6012 | 2.99 | 229 | 0.6767 | 0.7731 | | 0.4795 | 4.0 | 306 | 0.8686 | 0.7408 | | 0.5143 | 4.99 | 382 | 0.7684 | 0.7629 | | 0.4878 | 6.0 | 459 | 0.7513 | 0.7744 | | 0.4619 | 6.99 | 535 | 0.8314 | 0.7596 | | 0.458 | 8.0 | 612 | 0.7943 | 0.7670 | | 0.4383 | 8.99 | 688 | 0.8460 | 0.7596 | | 0.5196 | 9.93 | 760 | 0.8000 | 0.7678 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3