README.md

metadata

license: apache-2.0
base_model: bookbot/distil-ast-audioset
tags:
  - generated_from_trainer
datasets:
  - marsyas/gtzan
model-index:
  - name: distil-ast-audioset-finetuned-gtzan
    results: []

distil-ast-audioset-finetuned-gtzan

This model is a fine-tuned version of bookbot/distil-ast-audioset on the GTZAN dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.0566
• eval_accuracy: 0.55
• eval_runtime: 10.1124
• eval_samples_per_second: 9.889
• eval_steps_per_second: 1.286
• epoch: 19.0
• step: 2147

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: 20

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3