metadata

library_name: transformers
license: apache-2.0
base_model: pedromatias97/genre-recognizer-finetuned-gtzan_dset
tags:
  - generated_from_trainer
datasets:
  - pedromatias97/genre-recognizer-finetuned-gtzan_dset
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: 0.2022
eval_accuracy: 0.95
eval_runtime: 47.9165
eval_samples_per_second: 2.087
eval_steps_per_second: 0.271
epoch: 4.0
step: 452

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: 2e-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: 9
mixed_precision_training: Native AMP

Framework versions

Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.20.0