hubert-large-ll60k-finetuned-ravdess-v4

This model is a fine-tuned version of facebook/hubert-large-ll60k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0831
  • Accuracy: 0.625

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.0806 1.0 18 2.0768 0.1493
2.0707 2.0 36 2.0653 0.1771
2.0551 3.0 54 2.0475 0.1771
2.0223 4.0 72 2.0066 0.2153
1.8973 5.0 90 1.8130 0.2882
1.8547 6.0 108 1.8352 0.2847
1.7718 7.0 126 1.8253 0.2847
1.722 8.0 144 1.7302 0.2986
1.7004 9.0 162 1.7978 0.3160
1.6574 10.0 180 1.6873 0.3507
1.6387 11.0 198 1.7008 0.3576
1.5605 12.0 216 1.5569 0.4340
1.488 13.0 234 1.4882 0.4444
1.4243 14.0 252 1.4232 0.4653
1.3775 15.0 270 1.4478 0.4410
1.3716 16.0 288 1.3412 0.5035
1.2768 17.0 306 1.3833 0.4688
1.2841 18.0 324 1.3048 0.5069
1.2193 19.0 342 1.2395 0.5521
1.202 20.0 360 1.2025 0.5660
1.169 21.0 378 1.2574 0.5312
1.164 22.0 396 1.1877 0.5521
1.0749 23.0 414 1.1508 0.5764
1.0779 24.0 432 1.1783 0.5556
1.0732 25.0 450 1.1438 0.5625
1.016 26.0 468 1.1971 0.5590
1.022 27.0 486 1.1014 0.6042
1.0345 28.0 504 1.0626 0.6215
1.0081 29.0 522 1.0928 0.6181
1.0036 30.0 540 1.0831 0.625

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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