metadata

license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
  - generated_from_trainer
datasets:
  - audiofolder
model-index:
  - name: distilhubert-finetuned-cry-detector
    results: []

distilhubert-finetuned-cry-detector

This model is a fine-tuned version of ntu-spml/distilhubert on the audiofolder dataset.

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 123
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.9888	11	1.6669	0.5562

Framework versions

Transformers 4.43.4
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1