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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: 1.0816
  • Accuracy: 0.8325

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: 30

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.5937 1.0 200 3.4961 0.1
3.1597 2.0 400 3.1798 0.1325
2.8922 3.0 600 2.8387 0.2025
2.6376 4.0 800 2.5594 0.285
2.1292 5.0 1000 2.3671 0.35
2.1607 6.0 1200 2.0533 0.4225
1.7886 7.0 1400 1.8790 0.42
1.626 8.0 1600 1.7147 0.52
1.5246 9.0 1800 1.6021 0.545
0.9318 10.0 2000 1.4441 0.5825
0.9384 11.0 2200 1.2180 0.67
0.9081 12.0 2400 1.1540 0.7075
0.803 13.0 2600 1.1317 0.72
0.4613 14.0 2800 1.0722 0.74
0.4389 15.0 3000 1.1055 0.73
0.4175 16.0 3200 1.0409 0.725
0.2977 17.0 3400 0.9540 0.78
0.3455 18.0 3600 0.9743 0.805
0.2237 19.0 3800 1.0938 0.7775
0.154 20.0 4000 1.0646 0.8
0.0966 21.0 4200 1.0621 0.7875
0.172 22.0 4400 1.1815 0.7725
0.055 23.0 4600 1.1436 0.79
0.1465 24.0 4800 1.1070 0.81
0.0458 25.0 5000 1.1053 0.82
0.0137 26.0 5200 1.0798 0.815
0.0449 27.0 5400 1.1108 0.8225
0.0231 28.0 5600 1.1113 0.83
0.0218 29.0 5800 1.0896 0.83
0.047 30.0 6000 1.0816 0.8325

Framework versions

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