Wav2vec2 Base Lang Id

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - audio-classification - generated_from_trainer datasets: - common_language metrics: - accuracy model-index: - name: wav2vec2-base-lang-id results: - task: name: Audio Classification type: audio-classification dataset: name: common_language type: common_language config: full split: validation args: full metrics: - name: Accuracy type: accuracy value: 0.028362771739130436 --- <!-- 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. --> # wav2vec2-base-lang-id This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_language dataset. It achieves the following results on the evaluation set: - Loss: 11.3684 - Accuracy: 0.0284 ## 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: 0.0003 - train_batch_size: 24 - eval_batch_size: 3 - seed: 0 - gradient_accumulation_steps: 4 - total_train_batch_size: 96 - 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_steps: 0.1 - num_epochs: 3.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 45.8136 | 1.0 | 232 | 11.3684 | 0.0284 | | 45.4635 | 2.0 | 464 | 11.3664 | 0.0284 | | 34.2305 | 3.0 | 696 | 11.3563 | 0.0284 | ### Framework versions - Transformers 5.0.0.dev0 - Pytorch 2.9.1+cu128 - Datasets 3.6.0 - Tokenizers 0.22.2

Source context: 9 downloads · 1 likes · Pipeline audio-classification · Library transformers · Repo slakumalla/wav2vec2-base-lang-id