Downloads · 30 days
4
19% of all-time downloads
distilhubert-finetuned-gtzan-2
kenzic/distilhubert-finetuned-gtzan-2
distilhubert-finetuned-gtzan-2 is a machine learning model from kenzic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
21
Public
Parameters
23.7M
948 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors94.8 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- 7c124f50
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-2
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: 0.6290
- Accuracy: 0.83
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: 10
- eval_batch_size: 10
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9857 | 1.0 | 90 | 1.8850 | 0.56 |
| 1.2735 | 2.0 | 180 | 1.3243 | 0.64 |
| 1.0297 | 3.0 | 270 | 1.0371 | 0.7 |
| 0.6856 | 4.0 | 360 | 0.9535 | 0.74 |
| 0.5659 | 5.0 | 450 | 0.7661 | 0.78 |
| 0.4125 | 6.0 | 540 | 0.6502 | 0.81 |
| 0.3883 | 7.0 | 630 | 0.6516 | 0.83 |
| 0.2705 | 8.0 | 720 | 0.6270 | 0.81 |
| 0.2147 | 9.0 | 810 | 0.6383 | 0.83 |
| 0.17 | 10.0 | 900 | 0.6290 | 0.83 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024