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distilhubertmk22
hwhjones/distilhubertmk22
distilhubertmk22 is a audio classification model from hwhjones. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023
- SHA
- 09d379d7
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilhubert-finetuned-gtzan
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.8236
- Accuracy: 0.86
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4322 | 1.0 | 225 | 1.2094 | 0.7 |
| 0.8987 | 2.0 | 450 | 1.0620 | 0.63 |
| 0.1897 | 3.0 | 675 | 0.6543 | 0.79 |
| 0.7499 | 4.0 | 900 | 0.5746 | 0.84 |
| 0.0585 | 5.0 | 1125 | 0.6851 | 0.82 |
| 0.0127 | 6.0 | 1350 | 0.7394 | 0.82 |
| 0.0119 | 7.0 | 1575 | 1.0074 | 0.81 |
| 0.0037 | 8.0 | 1800 | 0.8042 | 0.85 |
| 0.0027 | 9.0 | 2025 | 0.8673 | 0.84 |
| 0.0018 | 10.0 | 2250 | 0.9179 | 0.85 |
| 0.0016 | 11.0 | 2475 | 0.8380 | 0.86 |
| 0.0016 | 12.0 | 2700 | 0.8236 | 0.86 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.4.0
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023