Audio Model

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: my_awesome_mind_model 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. --> # my_awesome_mind_model This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.6668 - Accuracy: 0.0708 ## 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: Use 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_ratio: 0.1 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 4 | 2.6480 | 0.0354 | | No log | 2.0 | 8 | 2.6528 | 0.0354 | | 2.6393 | 3.0 | 12 | 2.6578 | 0.0442 | | 2.6393 | 4.0 | 16 | 2.6518 | 0.0531 | | 2.6261 | 5.0 | 20 | 2.6490 | 0.0708 | | 2.6261 | 6.0 | 24 | 2.6534 | 0.0354 | | 2.6261 | 7.0 | 28 | 2.6562 | 0.0708 | | 2.6252 | 8.0 | 32 | 2.6635 | 0.0796 | | 2.6252 | 9.0 | 36 | 2.6670 | 0.0708 | | 2.6144 | 10.0 | 40 | 2.6668 | 0.0708 | ### Framework versions - Transformers 4.57.3 - Pytorch 2.9.1+cu128 - Datasets 4.4.1 - Tokenizers 0.22.1

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