metadata

library_name: transformers
license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
  - generated_from_trainer
datasets:
  - audiofolder
model-index:
  - name: ph-audio-classification-v1
    results: []

ph-audio-classification-v1

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

eval_loss: 0.3404
eval_accuracy: 1.0
eval_runtime: 0.8233
eval_samples_per_second: 8.503
eval_steps_per_second: 1.215
epoch: 1.0
step: 4

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.46.3
Pytorch 2.4.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3