learning_rate: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
2.0903	0.4640	1000	0.6799	73.2837	24.4656
2.872	0.9281	2000	0.9368	81.5331	31.3250
2.9863	1.3921	3000	0.8913	79.8873	29.0572
2.5887	1.8561	4000	0.9178	81.5633	30.7605
2.5408	2.3202	5000	1.0047	85.0765	35.1896
3.057	2.7842	6000	1.0349	82.6958	32.6409
6.9153	3.2483	7000	2.9900	100.0	98.8214
24.2761	3.7123	8000	11.5877	100.0	98.8530
5.0923	4.1763	9000	2.3517	100.0	90.6749
5.2345	4.6404	10000	2.4747	100.0	82.7552

davidilag/wav2vec2-xls-r-1b-faroese-100h-10k-steps

wav2vec2-xls-r-1b-faroese-100h-10k-steps