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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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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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+
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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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+
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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: 0.0157
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+ - Accuracy: 0.9966
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.334 | 1.0 | 83 | 0.2926 | 0.8881 |
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+ | 0.1375 | 2.0 | 166 | 0.0696 | 0.9846 |
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+ | 0.0575 | 3.0 | 249 | 0.0343 | 0.9917 |
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+ | 0.0495 | 4.0 | 332 | 0.0499 | 0.9834 |
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+ | 0.0227 | 5.0 | 415 | 0.0221 | 0.9947 |
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+ | 0.0295 | 6.0 | 498 | 0.0222 | 0.9951 |
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+ | 0.0252 | 7.0 | 581 | 0.0558 | 0.9872 |
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+ | 0.0254 | 8.0 | 664 | 0.0244 | 0.9940 |
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+ | 0.0174 | 9.0 | 747 | 0.0137 | 0.9974 |
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+ | 0.0028 | 10.0 | 830 | 0.0157 | 0.9966 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.50.2
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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