Openslr Multilingual automatic-speech-recognition generated_from_trainer hf-asr-leaderboard mozilla-foundation/common_voice_7_0 robust-speech-event

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Wav2Vec2_xls_r_300m_hi_final

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the 'Openslr Multilingual and code-switching ASR challenge' dataset and 'mozilla-foundation/common_voice_7_0' 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 Wer Cer
0.9821 0.64 400 0.5059 0.4783 0.1573
0.6861 1.28 800 0.4201 0.4247 0.1356
0.585 1.92 1200 0.3797 0.3811 0.1210
0.5193 2.56 1600 0.3577 0.3652 0.1152
0.4583 3.21 2000 0.3422 0.3519 0.1111
0.4282 3.85 2400 0.3261 0.3450 0.1071
0.3951 4.49 2800 0.3201 0.3325 0.1048
0.3619 5.13 3200 0.3167 0.3296 0.1030
0.345 5.77 3600 0.3157 0.3210 0.1013
0.338 6.41 4000 0.3051 0.3143 0.0982
0.3155 7.05 4400 0.3059 0.3154 0.0986
0.3057 7.69 4800 0.3035 0.3137 0.0972

Framework versions