mcamara/distilhubert-finetuned-gtzan

Source: 🤗audio-classificationapache-2.095 MBother✓ 15 checksumsupdated 1,209d ago

Weights

Original

F3295 MB
2 files
pytorch_model.bin 95 MBtraining_args.bin 4 kB

distilhubert-finetuned-gtzan

This model is a fine-tuned version of MariaK/distilhubert-finetuned-gtzan-v2 on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 0.4905
Accuracy: 0.89

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: 0.01

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0742	0.02	2	0.4905	0.89

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

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