mps-tuned-gtzan – AI Model by cerkut | AlphaNeural AI

You can deploy this model and start earning money today!

cerkut/
mps-tuned-gtzan

like

0

audio-classification

generated_from_trainer

ntu-spml/distilhubert

endpoints_compatible

Views

No views yet

mps-tuned-gtzan

This model is a fine-tuned version of ntu-spml/distilhubert on the gtzan dataset. It achieves the following results on the evaluation set:

Loss: 2.2018
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	2.2018	0.75

Framework versions

Transformers 4.38.1
Pytorch 2.2.1
Datasets 2.17.0
Tokenizers 0.15.2