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metadata
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
  - audio-classification
  - hubert
  - esc50
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: hubert-esc50-finetuned
    results: []

hubert-esc50-finetuned

This model is a fine-tuned version of facebook/hubert-base-ls960 on the ESC-50 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3860
  • Accuracy: 0.3625

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
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.7931 1.0 200 3.7608 0.0275
3.6397 2.0 400 3.5743 0.065
3.3959 3.0 600 3.3550 0.0975
3.2348 4.0 800 3.1394 0.1375
2.9701 5.0 1000 2.9271 0.2175
2.9462 6.0 1200 2.7442 0.23
2.728 7.0 1400 2.6029 0.275
2.5537 8.0 1600 2.4791 0.3125
2.4586 9.0 1800 2.4028 0.35
2.3136 10.0 2000 2.3860 0.3625

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.1