metadata

license: apache-2.0
base_model: pedromatias97/genre-recognizer-finetuned-gtzan_dset
tags:
  - generated_from_trainer
datasets:
  - marsyas/gtzan
model-index:
  - name: genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan
    results: []

genre-recognizer-finetuned-gtzan_dset-finetuned-gtzan

This model is a fine-tuned version of pedromatias97/genre-recognizer-finetuned-gtzan_dset on the GTZAN dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2709
eval_accuracy: 0.88
eval_runtime: 67.912
eval_samples_per_second: 1.472
eval_steps_per_second: 0.191
epoch: 2.0
step: 226

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: 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: 15
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1