--- license: apache-2.0 tags: - audio-classification - generated_from_trainer datasets: - superb metrics: - accuracy model-index: - name: wav2vec2-base-ks-linear_lrX100 results: [] --- # wav2vec2-base-ks-linear_lrX100 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset. It achieves the following results on the evaluation set: - Loss: 0.6970 - Accuracy: 0.8001 ## 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: 0.003 - train_batch_size: 256 - eval_batch_size: 256 - seed: 0 - gradient_accumulation_steps: 4 - total_train_batch_size: 1024 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 10.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 1.1789 | 1.0 | 50 | 1.3621 | 0.6225 | | 0.636 | 2.0 | 100 | 0.9176 | 0.6912 | | 0.5575 | 3.0 | 150 | 0.8543 | 0.7376 | | 0.5289 | 4.0 | 200 | 0.6970 | 0.8001 | | 0.4926 | 5.0 | 250 | 0.8232 | 0.7548 | | 0.4831 | 6.0 | 300 | 0.7442 | 0.7755 | | 0.4539 | 7.0 | 350 | 0.7484 | 0.7785 | | 0.4816 | 8.0 | 400 | 0.7038 | 0.7982 | | 0.4666 | 9.0 | 450 | 0.7277 | 0.7764 | | 0.4417 | 10.0 | 500 | 0.7289 | 0.7870 | ### Framework versions - Transformers 4.22.0.dev0 - Pytorch 1.11.0+cu115 - Datasets 2.4.0 - Tokenizers 0.12.1