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README.md ADDED
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+ ---
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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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+ datasets:
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+ - audiofolder
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: violence-audio-Recognition-88822
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+ results:
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+ - task:
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+ name: Audio Classification
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+ type: audio-classification
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+ dataset:
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+ name: audiofolder
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+ type: audiofolder
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+ config: default
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+ split: train
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+ args: default
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9491701244813278
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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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+ # violence-audio-Recognition-88822
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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 the audiofolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1980
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+ - Accuracy: 0.9492
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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: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 16
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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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+ | 0.4717 | 1.0 | 60 | 0.2778 | 0.8859 |
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+ | 0.2436 | 1.99 | 120 | 0.2150 | 0.9336 |
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+ | 0.1808 | 2.99 | 180 | 0.1529 | 0.9585 |
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+ | 0.1444 | 4.0 | 241 | 0.2275 | 0.9098 |
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+ | 0.098 | 5.0 | 301 | 0.1924 | 0.9471 |
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+ | 0.0752 | 5.99 | 361 | 0.1087 | 0.9720 |
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+ | 0.0646 | 6.99 | 421 | 0.1321 | 0.9699 |
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+ | 0.0762 | 8.0 | 482 | 0.1387 | 0.9627 |
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+ | 0.0464 | 9.0 | 542 | 0.1980 | 0.9492 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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