Wav2vec2 Word Cls

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base-960h tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2_word_cls 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. --> # wav2vec2_word_cls This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.1277 - Accuracy: 0.8038 ## 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - 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: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 4.7767 | 1.0 | 59 | 2.1566 | 0.4937 | | 4.0970 | 2.0 | 118 | 1.8615 | 0.5633 | | 3.5216 | 3.0 | 177 | 1.6508 | 0.5823 | | 2.9832 | 4.0 | 236 | 1.4801 | 0.6582 | | 2.7812 | 5.0 | 295 | 1.3932 | 0.6709 | | 2.5981 | 6.0 | 354 | 1.3658 | 0.7025 | | 2.5486 | 7.0 | 413 | 1.2179 | 0.7532 | | 2.2501 | 8.0 | 472 | 1.1333 | 0.7722 | | 2.2565 | 9.0 | 531 | 1.1314 | 0.8038 | | 2.4496 | 10.0 | 590 | 1.1277 | 0.8038 | ### Framework versions - Transformers 5.5.4 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo herrado99/wav2vec2_word_cls