End of training
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README.md
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---
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license: apache-2.0
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base_model: facebook/hubert-base-ls960
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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: hubert-base-ls960-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: all
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split: train
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args: all
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.85
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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-base-ls960-finetuned-gtzan
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7461
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- Accuracy: 0.85
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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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- 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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| 2.0275 | 1.0 | 225 | 1.8624 | 0.36 |
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| 1.3649 | 2.0 | 450 | 1.4155 | 0.51 |
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| 1.1545 | 3.0 | 675 | 1.2385 | 0.6 |
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| 0.9293 | 4.0 | 900 | 0.9788 | 0.67 |
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| 0.5855 | 5.0 | 1125 | 0.8809 | 0.7 |
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| 0.2652 | 6.0 | 1350 | 0.9386 | 0.73 |
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| 1.2178 | 7.0 | 1575 | 0.7286 | 0.81 |
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| 0.1843 | 8.0 | 1800 | 1.2881 | 0.7 |
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| 0.089 | 9.0 | 2025 | 0.4900 | 0.9 |
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| 0.0928 | 10.0 | 2250 | 0.7461 | 0.85 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Jul14_14-25-27_86e35ce60b9e/events.out.tfevents.1720967136.86e35ce60b9e.4898.1
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:30526b165a68a082ea0de3abdd63dc573d646393282a6134c643a1a5f85c1e12
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size 104595
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