metadata
license: apache-2.0
base_model: bookbot/distil-ast-audioset
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: distil-ast-audioset-finetuned-gtzan
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: GTZAN
type: marsyas/gtzan
config: all
split: train
args: all
metrics:
- name: Accuracy
type: accuracy
value: 0.94
distil-ast-audioset-finetuned-gtzan
This model is a fine-tuned version of bookbot/distil-ast-audioset on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.4081
- Accuracy: 0.94
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9111 | 1.0 | 113 | 0.5715 | 0.8 |
| 0.7253 | 2.0 | 226 | 1.0694 | 0.68 |
| 0.2439 | 3.0 | 339 | 0.5109 | 0.87 |
| 0.1315 | 4.0 | 452 | 0.5587 | 0.84 |
| 0.1561 | 5.0 | 565 | 0.6294 | 0.83 |
| 0.0016 | 6.0 | 678 | 0.4354 | 0.89 |
| 0.0002 | 7.0 | 791 | 0.4335 | 0.92 |
| 0.0002 | 8.0 | 904 | 0.4335 | 0.9 |
| 0.0002 | 9.0 | 1017 | 0.4160 | 0.92 |
| 0.0001 | 10.0 | 1130 | 0.4081 | 0.94 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1