filipino wav2vec2 l xls r 300m official This model is a fine tuned version of facebook/wav2vec2 xls r 300m on the filipino voice dataset. It achieves the following results on the evaluation set: Loss: 0.4672 Wer: 0.2922 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: 0.0003 train batch size: 8 eval batch size: 8 seed: 42 gradient accumulation steps: 2 total train batch size: 16 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear lr scheduler warmup steps: 500 num epochs: 30 mixed precision training: Native AMP Training results Training Loss Epoch Step Validation Loss Wer : : : : : : : : : : 3.3671 2.09 400 0.5584 0.5987 0.48 4.19 800 0.4244 0.4195 0.2796 6.28 1200 0.3742 0.3765 0.1916 8.38 1600 0.4291 0.3667 0.1463 10.47 2000 0.3745 0.3415 0.1165 12.57 2400 0.4472 0.3407 0.0955 14.66 2800 0.4269 0.3290 0.0823 16.75 3200 0.4608 0.3475 0.0709 18.85 3600 0.4706 0.3281 0.0603 20.94 4000 0.4380 0.3183 0.0527 23.04 4400 0.4473 0.3067 0.0449 25.13…
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