wav2vec2-large-voxrex-swedish-coscan-no-region

This model is a fine-tuned version of KBLab/wav2vec2-large-voxrex-swedish on the coscan-speech2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.0151
• Accuracy: 0.8773
• F1: 0.8773
• Precision: 0.8773
• Recall: 0.8773

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1651	1.0	6468	0.5657	0.8650	0.8650	0.8650	0.8650
0.1217	2.0	12936	0.9411	0.8487	0.8487	0.8487	0.8487
0.0013	3.0	19404	0.9991	0.8617	0.8617	0.8617	0.8617
0.0652	4.0	25872	1.0151	0.8773	0.8773	0.8773	0.8773
0.0001	5.0	32340	1.1031	0.8700	0.8700	0.8700	0.8700

Classification report on Coscan Speech (test set)

                         precision    recall  f1-score   support

Bergen og Ytre Vestland       0.65      0.97      0.78      1809
     Hedmark og Oppland       0.12      0.06      0.08      2302
               Nordland       0.97      0.47      0.63      2195
           Oslo-området       0.78      0.42      0.55      6957
               Sunnmøre       0.94      0.71      0.81      2636
         Sør-Vestlandet       0.96      0.46      0.62      2860
              Sørlandet       0.62      0.81      0.70      2490
                  Troms       0.67      1.00      0.80      2867
              Trøndelag       0.52      0.94      0.67      2666
         Voss og omland       0.70      0.71      0.71      2641
         Ytre Oslofjord       0.20      0.49      0.29      1678

               accuracy                           0.62     31101
              macro avg       0.65      0.64      0.60     31101
           weighted avg       0.68      0.62      0.61     31101

Framework versions

• Transformers 4.22.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 2.4.1.dev0
• Tokenizers 0.12.1