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--- |
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base_model: facebook/wav2vec2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- marsyas/gtzan |
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metrics: |
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- accuracy |
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model-index: |
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- name: facebook/wav2vec2-base-finetuned-gtzan |
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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: GTZAN |
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type: marsyas/gtzan |
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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: 0.4 |
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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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# facebook/wav2vec2-base-finetuned-gtzan |
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This model is a fine-tuned version of [facebook/wav2vec2](https://huggingface.co./facebook/wav2vec2) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0140 |
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- Accuracy: 0.4 |
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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: 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 |
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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 | 0.96 | 6 | 2.2871 | 0.195 | |
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| 2.2933 | 1.92 | 12 | 2.2658 | 0.18 | |
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| 2.2933 | 2.88 | 18 | 2.2214 | 0.275 | |
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| 2.2388 | 4.0 | 25 | 2.1885 | 0.29 | |
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| 2.1455 | 4.96 | 31 | 2.1246 | 0.38 | |
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| 2.1455 | 5.92 | 37 | 2.1139 | 0.35 | |
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| 2.0823 | 6.88 | 43 | 2.0462 | 0.36 | |
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| 2.0279 | 8.0 | 50 | 2.0282 | 0.405 | |
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| 2.0279 | 8.96 | 56 | 2.0133 | 0.405 | |
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| 1.9928 | 9.6 | 60 | 2.0140 | 0.4 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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