metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: hubert-large-ls960-ft-finetuned-gtzan
results: []
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: nan
- Accuracy: 0.8
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2564 | 1.0 | 112 | 2.2597 | 0.37 |
| 1.6529 | 2.0 | 225 | 1.8087 | 0.27 |
| 1.4922 | 3.0 | 337 | 1.4067 | 0.48 |
| 1.3749 | 4.0 | 450 | 1.3045 | 0.55 |
| 0.9226 | 5.0 | 562 | 1.1160 | 0.64 |
| 0.8591 | 6.0 | 675 | 0.8981 | 0.69 |
| 0.5988 | 7.0 | 787 | 0.9898 | 0.71 |
| 1.0143 | 8.0 | 900 | 1.0200 | 0.69 |
| 0.464 | 9.0 | 1012 | 0.5678 | 0.82 |
| 0.6969 | 10.0 | 1125 | 0.7087 | 0.81 |
| 0.5547 | 11.0 | 1237 | 0.7278 | 0.75 |
| 0.2638 | 12.0 | 1350 | 0.7599 | 0.8 |
| 0.3504 | 13.0 | 1462 | 0.6778 | 0.85 |
| 0.106 | 14.0 | 1575 | 0.7504 | 0.82 |
| 0.3392 | 15.0 | 1687 | 0.7514 | 0.84 |
| 0.1516 | 16.0 | 1800 | 0.8678 | 0.8 |
| 0.1324 | 17.0 | 1912 | 0.7644 | 0.84 |
| 0.0827 | 18.0 | 2025 | nan | 0.8 |
| 0.45 | 19.0 | 2137 | nan | 0.8 |
| 0.2407 | 19.91 | 2240 | nan | 0.8 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3