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wav2vec2_swbd_emodb

Bagus / wav2vec2_swbd_emodb

Run on huggingface.co
huggingface.co
Total runs: 12
24-hour runs: -1
7-day runs: 4
30-day runs: 8
Model's Last Updated: May 30 2024

Introduction of wav2vec2_swbd_emodb

Model Details of wav2vec2_swbd_emodb

finetuned

This model is a fine-tuned version of facebook/wav2vec2-large-robust-ft-swbd-300h on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0281
  • Uar: 0.7318
  • Acc: 0.7721

For the test set:

  • UAR: 0.74
  • ACC: 0.794
Model description

This model is to predict four emotion categories given and audio file. Labels are anger', 'happiness', 'sadness', 'neutral'. This wav2vec2-based model is known cannot detect 'happiness'.

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
Training results
Training Loss Epoch Step Validation Loss Uar Acc
No log 0.15 1 1.3899 0.25 0.1985
No log 0.31 2 1.3850 0.25 0.1985
No log 0.46 3 1.3815 0.25 0.1985
No log 0.62 4 1.3772 0.25 0.1985
No log 0.77 5 1.3714 0.25 0.4044
No log 0.92 6 1.3656 0.25 0.4044
1.4878 1.08 7 1.3610 0.25 0.4044
1.4878 1.23 8 1.3583 0.25 0.4044
1.4878 1.38 9 1.3549 0.25 0.4044
1.4878 1.54 10 1.3518 0.25 0.4044
1.4878 1.69 11 1.3491 0.25 0.4044
1.4878 1.85 12 1.3458 0.25 0.4044
1.4878 2.0 13 1.3425 0.25 0.4044
1.2316 2.15 14 1.3401 0.25 0.4044
1.2316 2.31 15 1.3380 0.25 0.4044
1.2316 2.46 16 1.3354 0.25 0.4044
1.2316 2.62 17 1.3326 0.25 0.4044
1.2316 2.77 18 1.3292 0.2778 0.4265
1.2316 2.92 19 1.3250 0.2963 0.4412
1.3835 3.08 20 1.3212 0.3519 0.4853
1.3835 3.23 21 1.3158 0.4029 0.5221
1.3835 3.38 22 1.3096 0.5047 0.6029
1.3835 3.54 23 1.3019 0.5695 0.6544
1.3835 3.69 24 1.2944 0.6485 0.7059
1.3835 3.85 25 1.2856 0.6534 0.6985
1.3835 4.0 26 1.2773 0.6768 0.7059
1.1038 4.15 27 1.2688 0.6540 0.6691
1.1038 4.31 28 1.2554 0.6404 0.6471
1.1038 4.46 29 1.2404 0.6359 0.6397
1.1038 4.62 30 1.2222 0.6586 0.6765
1.1038 4.77 31 1.2057 0.6631 0.6838
1.1038 4.92 32 1.1874 0.6769 0.6985
1.075 5.08 33 1.1624 0.6953 0.7206
1.075 5.23 34 1.1427 0.7182 0.75
1.075 5.38 35 1.1270 0.7182 0.75
1.075 5.54 36 1.1085 0.7227 0.7574
1.075 5.69 37 1.0982 0.7227 0.7574
1.075 5.85 38 1.0943 0.7227 0.7574
1.075 6.0 39 1.0930 0.7136 0.7426
0.7211 6.15 40 1.0903 0.7091 0.7353
0.7211 6.31 41 1.0858 0.7091 0.7353
0.7211 6.46 42 1.0816 0.7045 0.7279
0.7211 6.62 43 1.0734 0.7091 0.7353
0.7211 6.77 44 1.0617 0.7136 0.7426
0.7211 6.92 45 1.0536 0.7136 0.7426
0.6595 7.08 46 1.0450 0.7318 0.7721
0.6595 7.23 47 1.0370 0.7364 0.7794
0.6595 7.38 48 1.0323 0.7364 0.7794
0.6595 7.54 49 1.0301 0.7364 0.7794
0.6595 7.69 50 1.0307 0.7364 0.7794
0.6595 7.85 51 1.0302 0.7318 0.7721
0.6595 8.0 52 1.0307 0.7318 0.7721
0.5067 8.15 53 1.0317 0.7318 0.7721
0.5067 8.31 54 1.0324 0.7318 0.7721
0.5067 8.46 55 1.0324 0.7318 0.7721
0.5067 8.62 56 1.0326 0.7273 0.7647
0.5067 8.77 57 1.0315 0.7318 0.7721
0.5067 8.92 58 1.0297 0.7318 0.7721
0.5617 9.08 59 1.0287 0.7318 0.7721
0.5617 9.23 60 1.0281 0.7318 0.7721
Framework versions
  • Transformers 4.32.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.13.3

Runs of Bagus wav2vec2_swbd_emodb on huggingface.co

12
Total runs
-1
24-hour runs
0
3-day runs
4
7-day runs
8
30-day runs

More Information About wav2vec2_swbd_emodb huggingface.co Model

More wav2vec2_swbd_emodb license Visit here:

https://choosealicense.com/licenses/apache-2.0

wav2vec2_swbd_emodb huggingface.co

wav2vec2_swbd_emodb huggingface.co is an AI model on huggingface.co that provides wav2vec2_swbd_emodb's model effect (), which can be used instantly with this Bagus wav2vec2_swbd_emodb model. huggingface.co supports a free trial of the wav2vec2_swbd_emodb model, and also provides paid use of the wav2vec2_swbd_emodb. Support call wav2vec2_swbd_emodb model through api, including Node.js, Python, http.

wav2vec2_swbd_emodb huggingface.co Url

https://huggingface.co/Bagus/wav2vec2_swbd_emodb

Bagus wav2vec2_swbd_emodb online free

wav2vec2_swbd_emodb huggingface.co is an online trial and call api platform, which integrates wav2vec2_swbd_emodb's modeling effects, including api services, and provides a free online trial of wav2vec2_swbd_emodb, you can try wav2vec2_swbd_emodb online for free by clicking the link below.

Bagus wav2vec2_swbd_emodb online free url in huggingface.co:

https://huggingface.co/Bagus/wav2vec2_swbd_emodb

wav2vec2_swbd_emodb install

wav2vec2_swbd_emodb is an open source model from GitHub that offers a free installation service, and any user can find wav2vec2_swbd_emodb on GitHub to install. At the same time, huggingface.co provides the effect of wav2vec2_swbd_emodb install, users can directly use wav2vec2_swbd_emodb installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

wav2vec2_swbd_emodb install url in huggingface.co:

https://huggingface.co/Bagus/wav2vec2_swbd_emodb

Url of wav2vec2_swbd_emodb

wav2vec2_swbd_emodb huggingface.co Url

Provider of wav2vec2_swbd_emodb huggingface.co

Bagus
ORGANIZATIONS
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