Downloads · 30 days
4
13% of all-time downloads
hubert-large-ls960-ft-finetuned-gtzan
kenzic/hubert-large-ls960-ft-finetuned-gtzan
hubert-large-ls960-ft-finetuned-gtzan 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
30
Public
Parameters
316M
12.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Aug 14, 2024
- Updated
- Aug 14, 2024
- SHA
- 81a8d6ef
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. -->
hubert-large-ls960-ft-finetuned-gtzan
This model is a fine-tuned version of facebook/hubert-large-ls960-ft on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.8290
- Accuracy: 0.75
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: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- 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 |
|---|---|---|---|---|
| 2.1489 | 1.0 | 90 | 2.1400 | 0.24 |
| 1.6277 | 2.0 | 180 | 1.6670 | 0.46 |
| 1.5479 | 3.0 | 270 | 1.4687 | 0.47 |
| 1.1795 | 4.0 | 360 | 1.3815 | 0.56 |
| 1.1491 | 5.0 | 450 | 1.0969 | 0.63 |
| 0.8421 | 6.0 | 540 | 1.0707 | 0.65 |
| 1.1917 | 7.0 | 630 | 0.8761 | 0.71 |
| 0.7243 | 8.0 | 720 | 0.8741 | 0.72 |
| 0.6959 | 9.0 | 810 | 0.8417 | 0.76 |
| 0.6921 | 10.0 | 900 | 0.8290 | 0.75 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 14, 2024
- Updated
- Aug 14, 2024