wav2vec2-300m-ft-soft-skill

作者 jhonparra18 · 下载 0 · 点赞 0 · 更新 2023-10-31

generated_from_trainer

wav2vec2-300m-ft-soft-skill

This model is a fine-tuned version of glob-asr/xls-r-es-test-lm on the None dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Micro F1 Macro Precision Micro
0.823 0.51 100 0.6821 0.7589 0.2876 0.7589 0.7589
0.7122 1.02 200 0.6767 0.7589 0.2876 0.7589 0.7589
0.6706 1.52 300 0.6768 0.7589 0.2876 0.7589 0.7589
0.7096 2.03 400 0.6791 0.7589 0.2876 0.7589 0.7589
0.6909 2.54 500 0.6780 0.7589 0.2876 0.7589 0.7589
0.6861 3.05 600 0.6779 0.7589 0.2876 0.7589 0.7589
0.6842 3.55 700 0.6773 0.7589 0.2876 0.7589 0.7589
0.6887 4.06 800 0.6764 0.7589 0.2876 0.7589 0.7589
0.6766 4.57 900 0.6803 0.7589 0.2876 0.7589 0.7589
0.6964 5.08 1000 0.6819 0.7589 0.2876 0.7589 0.7589
0.6515 5.58 1100 0.6788 0.7589 0.2876 0.7589 0.7589
0.6608 6.09 1200 0.6864 0.7589 0.2876 0.7589 0.7589
0.6171 6.6 1300 0.6980 0.7589 0.2876 0.7589 0.7589
0.6292 7.11 1400 0.7172 0.7386 0.3119 0.7386 0.7386
0.6015 7.61 1500 0.6988 0.7462 0.3212 0.7462 0.7462
0.6236 8.12 1600 0.7493 0.6954 0.3432 0.6954 0.6954
0.5643 8.63 1700 0.7250 0.7107 0.3466 0.7107 0.7107
0.6134 9.14 1800 0.7561 0.6751 0.3565 0.6751 0.6751
0.5642 9.64 1900 0.7447 0.6827 0.3514 0.6827 0.6827

Framework versions