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README.md
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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: urban_sounds_classification_Model
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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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# urban_sounds_classification_Model
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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: 0.7128
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- Accuracy: 0.8019
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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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## Training and evaluation data
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More information needed
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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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| 1.4464 | 1.0 | 55 | 1.4501 | 0.5965 |
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| 1.1235 | 2.0 | 110 | 1.2883 | 0.6285 |
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| 1.0447 | 3.0 | 165 | 1.1324 | 0.6691 |
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| 0.768 | 4.0 | 220 | 1.0824 | 0.6651 |
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| 0.7529 | 5.0 | 275 | 0.9645 | 0.7172 |
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| 0.6759 | 6.0 | 330 | 0.9236 | 0.7355 |
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| 0.5837 | 7.0 | 385 | 0.7909 | 0.7653 |
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| 0.5465 | 8.0 | 440 | 0.7330 | 0.7922 |
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| 0.5112 | 9.0 | 495 | 0.7152 | 0.7997 |
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| 0.4747 | 10.0 | 550 | 0.7128 | 0.8019 |
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### Framework versions
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- Transformers 4.53.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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