--- license: apache-2.0 tags: - audio-classification - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2-large-xlsr-fleurs results: [] --- # wav2vec2-large-xlsr-fleurs This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the google/fleurs dataset. It achieves the following results on the evaluation set: - Loss: 4.6073 - Accuracy: 0.016 ## 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: 0.001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 250 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 4.6254 | 0.8 | 50 | 4.6180 | 0.015 | | 4.6383 | 1.61 | 100 | 4.6073 | 0.016 | | 4.6262 | 2.42 | 150 | 4.5770 | 0.015 | | 4.5614 | 3.22 | 200 | 4.5759 | 0.015 | | 4.8119 | 4.03 | 250 | 4.5678 | 0.014 | ### Framework versions - Transformers 4.27.0.dev0 - Pytorch 1.13.1 - Datasets 2.9.0 - Tokenizers 0.13.2