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wavlm_finetuned_emodb

Bagus / wavlm_finetuned_emodb

Run on huggingface.co
huggingface.co
Total runs: 12
24-hour runs: -1
7-day runs: 2
30-day runs: 2
Model's Last Updated: May 30 2024

Introduction of wavlm_finetuned_emodb

Model Details of wavlm_finetuned_emodb

wavlm_finetuned_emodb

This model is a fine-tuned version of microsoft/wavlm-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9254
  • Uar: 0.8148
  • Acc: 0.8529
Model description

This model predict given audio waveform to one of four common emotion categories: anger, happiness, sadness, and neutral

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Uar Acc
1.3857 0.1538 1 1.3786 0.25 0.1985
1.3322 0.3077 2 1.3549 0.2914 0.2426
1.3112 0.4615 3 1.3165 0.5375 0.6103
1.2981 0.6154 4 1.2905 0.5 0.6029
1.1317 0.7692 5 1.2923 0.4907 0.5956
1.2078 0.9231 6 1.2619 0.5556 0.6471
0.9237 1.0769 7 1.2254 0.5741 0.6618
0.8396 1.2308 8 1.2247 0.5556 0.6471
1.0354 1.3846 9 1.2076 0.5556 0.6471
0.9205 1.5385 10 1.1891 0.5833 0.6691
0.9071 1.6923 11 1.1704 0.6481 0.7206
0.8132 1.8462 12 1.1988 0.6939 0.5735
0.8994 2.0 13 1.1960 0.6574 0.5221
0.7924 2.1538 14 1.1579 0.6658 0.5662
0.7386 2.3077 15 1.1401 0.6944 0.7574
0.6324 2.4615 16 1.1202 0.6111 0.6912
0.7282 2.6154 17 1.1090 0.5833 0.6691
0.673 2.7692 18 1.0907 0.6111 0.6912
0.623 2.9231 19 1.0578 0.7872 0.8235
0.4954 3.0769 20 1.0357 0.8475 0.8676
0.5201 3.2308 21 1.0365 0.7778 0.8235
0.5608 3.3846 22 1.0346 0.75 0.8015
0.6334 3.5385 23 1.0047 0.7685 0.8162
0.3737 3.6923 24 0.9585 0.8658 0.8897
0.5369 3.8462 25 0.9527 0.9178 0.8824
0.3599 4.0 26 0.9682 0.8906 0.8382
0.7642 4.1538 27 0.9418 0.8951 0.8456
0.4882 4.3077 28 0.9095 0.9310 0.9265
0.5011 4.4615 29 0.9378 0.8426 0.875
0.3707 4.6154 30 0.9630 0.7963 0.8382
0.381 4.7692 31 0.9721 0.7870 0.8309
0.2307 4.9231 32 0.9522 0.7963 0.8382
0.2829 5.0769 33 0.9598 0.7870 0.8309
0.2581 5.2308 34 0.9458 0.8056 0.8456
0.4658 5.3846 35 0.9442 0.8148 0.8529
0.2133 5.5385 36 0.9524 0.7870 0.8309
0.1107 5.6923 37 0.9601 0.7870 0.8309
0.3599 5.8462 38 0.9605 0.7778 0.8235
0.3085 6.0 39 0.9522 0.7918 0.8309
0.2739 6.1538 40 0.9564 0.7870 0.8309
0.3279 6.3077 41 0.9582 0.7870 0.8309
0.1346 6.4615 42 0.9646 0.7685 0.8162
0.1429 6.6154 43 0.9695 0.7685 0.8162
0.1 6.7692 44 0.9692 0.7685 0.8162
0.1852 6.9231 45 0.9651 0.7685 0.8162
0.1028 7.0769 46 0.9378 0.8056 0.8456
0.2071 7.2308 47 0.9154 0.8195 0.8529
0.1752 7.3846 48 0.8882 0.8566 0.8824
0.0907 7.5385 49 0.8704 0.8843 0.9044
0.1263 7.6923 50 0.8719 0.8798 0.8971
0.068 7.8462 51 0.8738 0.8798 0.8971
0.0589 8.0 52 0.8881 0.8566 0.8824
0.1494 8.1538 53 0.9001 0.8473 0.875
0.1137 8.3077 54 0.9120 0.8288 0.8603
0.0522 8.4615 55 0.9212 0.8148 0.8529
0.0666 8.6154 56 0.9251 0.8148 0.8529
0.0867 8.7692 57 0.9270 0.8148 0.8529
0.0764 8.9231 58 0.9264 0.8148 0.8529
0.0526 9.0769 59 0.9259 0.8148 0.8529
0.2877 9.2308 60 0.9254 0.8148 0.8529
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of Bagus wavlm_finetuned_emodb on huggingface.co

12
Total runs
-1
24-hour runs
-2
3-day runs
2
7-day runs
2
30-day runs

More Information About wavlm_finetuned_emodb huggingface.co Model

wavlm_finetuned_emodb huggingface.co

wavlm_finetuned_emodb huggingface.co is an AI model on huggingface.co that provides wavlm_finetuned_emodb's model effect (), which can be used instantly with this Bagus wavlm_finetuned_emodb model. huggingface.co supports a free trial of the wavlm_finetuned_emodb model, and also provides paid use of the wavlm_finetuned_emodb. Support call wavlm_finetuned_emodb model through api, including Node.js, Python, http.

wavlm_finetuned_emodb huggingface.co Url

https://huggingface.co/Bagus/wavlm_finetuned_emodb

Bagus wavlm_finetuned_emodb online free

wavlm_finetuned_emodb huggingface.co is an online trial and call api platform, which integrates wavlm_finetuned_emodb's modeling effects, including api services, and provides a free online trial of wavlm_finetuned_emodb, you can try wavlm_finetuned_emodb online for free by clicking the link below.

Bagus wavlm_finetuned_emodb online free url in huggingface.co:

https://huggingface.co/Bagus/wavlm_finetuned_emodb

wavlm_finetuned_emodb install

wavlm_finetuned_emodb is an open source model from GitHub that offers a free installation service, and any user can find wavlm_finetuned_emodb on GitHub to install. At the same time, huggingface.co provides the effect of wavlm_finetuned_emodb install, users can directly use wavlm_finetuned_emodb installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

wavlm_finetuned_emodb install url in huggingface.co:

https://huggingface.co/Bagus/wavlm_finetuned_emodb

Url of wavlm_finetuned_emodb

wavlm_finetuned_emodb huggingface.co Url

Provider of wavlm_finetuned_emodb huggingface.co

Bagus
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