automatic-speech-recognition zeroth generated_from_trainer

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distilhubert-ko-zeroth

This model is a fine-tuned version of ntu-spml/distilhubert on the BINGSU/ZEROTH-KOREAN - NA 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 Cer
No log 0.57 400 3.2681 0.6761
7.285 1.15 800 1.5312 0.4170
1.259 1.72 1200 1.3459 0.3846
0.9108 2.3 1600 1.1357 0.3239
0.7227 2.87 2000 1.0571 0.3056
0.7227 3.45 2400 1.0002 0.2829
0.5689 4.02 2800 0.8773 0.2553
0.4676 4.6 3200 0.8634 0.2462
0.3805 5.17 3600 0.8504 0.2323
0.2548 5.75 4000 0.8480 0.2260
0.2548 6.32 4400 0.8550 0.2231
0.189 6.9 4800 0.8587 0.2159
0.1336 7.47 5200 0.9012 0.2101
0.0827 8.05 5600 0.9302 0.2100
0.0506 8.62 6000 0.9622 0.2063
0.0506 9.2 6400 0.9826 0.2062
0.0389 9.77 6800 0.9933 0.2067

Framework versions