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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: distil-wav2vec2-adult-child-cls-v3
    results: []

distil-wav2vec2-adult-child-cls-v3

This model is a fine-tuned version of w11wo/wav2vec2-adult-child-cls-v3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1301
  • Accuracy: 0.9603
  • F1: 0.9639

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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.212 1.0 96 0.1561 0.9561 0.9596
0.1523 2.0 192 0.1408 0.9575 0.9616
0.0844 3.0 288 0.1301 0.9603 0.9639

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.3
  • Tokenizers 0.10.3