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--- |
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license: apache-2.0 |
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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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base_model: facebook/hubert-large-ll60k |
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model-index: |
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- name: hubert-large-ll60k-finetuned-gtzan |
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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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# hubert-large-ll60k-finetuned-gtzan |
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This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9220 |
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- Accuracy: 0.73 |
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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: 7e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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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| 2.2456 | 1.0 | 56 | 2.2312 | 0.34 | |
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| 2.059 | 1.99 | 112 | 1.9662 | 0.32 | |
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| 1.8574 | 2.99 | 168 | 1.6258 | 0.5 | |
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| 1.4447 | 4.0 | 225 | 1.4547 | 0.59 | |
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| 1.4224 | 5.0 | 281 | 1.2372 | 0.65 | |
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| 1.2131 | 5.99 | 337 | 1.0879 | 0.67 | |
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| 1.1151 | 6.99 | 393 | 1.0599 | 0.69 | |
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| 0.9471 | 8.0 | 450 | 1.0339 | 0.68 | |
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| 1.0319 | 9.0 | 506 | 0.9568 | 0.71 | |
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| 0.9313 | 9.96 | 560 | 0.9220 | 0.73 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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