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test_wav2vec2_ESC50

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0326
  • Accuracy: 0.7104

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: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.1292 0.9863 54 2.1314 0.2576
1.7714 1.9909 109 1.7812 0.4087
1.5023 2.9954 164 1.6238 0.4951
1.3402 4.0 219 1.3518 0.6022
1.1629 4.9863 273 1.2371 0.6440
1.0466 5.9909 328 1.1422 0.6789
0.9478 6.9954 383 1.0848 0.6875
0.879 8.0 438 1.1490 0.6577
0.8719 8.9863 492 1.0175 0.7121
0.8069 9.8630 540 1.0326 0.7104

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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