metadata
license: apache-2.0
base_model: SeyedAli/Musical-genres-Classification-Hubert-V1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Musical-genres-Classification-Hubert-V1-finetuned-gtzan_5sec
results: []
Musical-genres-Classification-Hubert-V1-finetuned-gtzan_5sec
This model is a fine-tuned version of SeyedAli/Musical-genres-Classification-Hubert-V1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6950
- Accuracy: 0.8866
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: 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 |
---|---|---|---|---|
0.6859 | 1.0 | 525 | 0.6151 | 0.7998 |
0.4314 | 2.0 | 1050 | 0.6598 | 0.7957 |
0.2708 | 3.0 | 1575 | 0.5466 | 0.8499 |
0.3121 | 4.0 | 2100 | 0.6376 | 0.8532 |
0.0027 | 5.0 | 2625 | 0.7428 | 0.8590 |
0.0036 | 6.0 | 3150 | 0.7249 | 0.8716 |
0.0007 | 7.0 | 3675 | 0.7227 | 0.8791 |
0.0001 | 8.0 | 4200 | 0.6902 | 0.8857 |
0.0001 | 9.0 | 4725 | 0.6917 | 0.8891 |
0.0001 | 10.0 | 5250 | 0.6950 | 0.8866 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1