| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: facebook/wav2vec2-base
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| tags:
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| - generated_from_trainer
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| metrics:
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| - accuracy
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| model-index:
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| - name: audio_classification
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| results: []
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| ---
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|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| should probably proofread and complete it, then remove this comment. -->
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|
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| # audio_classification
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| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 2.6446
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| - Accuracy: 0.0531
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|
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| ## Model description
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| More information needed
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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| ### Training hyperparameters
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| The following hyperparameters were used during training:
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| - learning_rate: 3e-05
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| - train_batch_size: 32
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| - eval_batch_size: 32
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| - seed: 42
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| - gradient_accumulation_steps: 4
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| - total_train_batch_size: 128
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| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| - lr_scheduler_type: linear
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| - lr_scheduler_warmup_ratio: 0.1
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| - num_epochs: 10
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| |:-------------:|:-----:|:----:|:---------------:|:--------:|
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| | No log | 1.0 | 4 | 2.6385 | 0.0442 |
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| | No log | 2.0 | 8 | 2.6355 | 0.0531 |
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| | 2.5056 | 3.0 | 12 | 2.6399 | 0.0619 |
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| | 2.5056 | 4.0 | 16 | 2.6434 | 0.0354 |
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| | 2.4294 | 5.0 | 20 | 2.6446 | 0.0531 |
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| | 2.4294 | 6.0 | 24 | 2.6372 | 0.0531 |
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| | 2.4294 | 7.0 | 28 | 2.6398 | 0.0619 |
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| | 2.4893 | 8.0 | 32 | 2.6445 | 0.0619 |
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| | 2.4893 | 9.0 | 36 | 2.6445 | 0.0442 |
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| | 2.4195 | 10.0 | 40 | 2.6446 | 0.0531 |
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| ### Framework versions
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| - Transformers 4.52.4
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| - Pytorch 2.7.1+cu128
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| - Datasets 3.6.0
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| - Tokenizers 0.21.1
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| |
