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distilhubert-finetuned-gtzan-finetuned-gtzan
This model is a fine-tuned version of VinayHajare/distilhubert-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.5147
- Accuracy: 0.89
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-07
- train_batch_size: 8
- eval_batch_size: 8
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4687 | 1.0 | 113 | 0.5210 | 0.89 |
| 0.5003 | 2.0 | 226 | 0.5186 | 0.89 |
| 0.3839 | 3.0 | 339 | 0.5186 | 0.89 |
| 0.4082 | 4.0 | 452 | 0.5183 | 0.89 |
| 0.4479 | 5.0 | 565 | 0.5183 | 0.89 |
| 0.4078 | 6.0 | 678 | 0.5171 | 0.89 |
| 0.3089 | 7.0 | 791 | 0.5156 | 0.89 |
| 0.3432 | 8.0 | 904 | 0.5152 | 0.89 |
| 0.4122 | 9.0 | 1017 | 0.5148 | 0.89 |
| 0.4231 | 10.0 | 1130 | 0.5147 | 0.89 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
