metadata
license: apache-2.0
base_model: sanchit-gandhi/distilhubert-finetuned-gtzan-5-epochs
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: distilhubert-finetuned-gtzan-5-epochs-finetuned-gtzan-QUIZ
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: 0.8
distilhubert-finetuned-gtzan-5-epochs-finetuned-gtzan-QUIZ
This model is a fine-tuned version of sanchit-gandhi/distilhubert-finetuned-gtzan-5-epochs on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.6688
- 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.7322 | 1.0 | 57 | 0.7652 | 0.79 |
0.5307 | 2.0 | 114 | 0.6521 | 0.83 |
0.4953 | 3.0 | 171 | 0.6688 | 0.8 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1