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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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- audio-classification |
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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: wav2vec2-object |
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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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# wav2vec2-object |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MatsRooth/object dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1285 |
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- Accuracy: 0.9836 |
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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: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 0.1 |
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- num_epochs: 10.0 |
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- mixed_precision_training: Native AMP |
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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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| 1.6367 | 1.0 | 84 | 1.2848 | 0.9335 | |
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| 0.7071 | 2.0 | 168 | 0.5108 | 0.9683 | |
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| 0.4246 | 3.0 | 252 | 0.3018 | 0.9747 | |
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| 0.3173 | 4.0 | 336 | 0.2098 | 0.9768 | |
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| 0.2585 | 5.0 | 420 | 0.1685 | 0.9784 | |
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| 0.192 | 6.0 | 504 | 0.1285 | 0.9836 | |
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| 0.1772 | 7.0 | 588 | 0.1210 | 0.9810 | |
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| 0.1435 | 8.0 | 672 | 0.1141 | 0.9805 | |
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| 0.1425 | 9.0 | 756 | 0.1094 | 0.9836 | |
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| 0.1398 | 10.0 | 840 | 0.1077 | 0.9826 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.13.1 |
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- Tokenizers 0.15.0 |
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