learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.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: 100
training_steps: 2000

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.7403	0.125	250	0.6963	0.5774	0.1984
1.6613	1.0445	500	0.6728	0.5636	0.2001
1.6135	1.1695	750	0.6625	0.5486	0.1919
1.5472	2.089	1000	0.6457	0.5448	0.1898
1.5304	3.0085	1250	0.6439	0.5370	0.1877
1.5243	3.1335	1500	0.6335	0.5179	0.1811
1.4798	4.053	1750	0.6264	0.5181	0.1803
1.4342	4.178	2000	0.6193	0.5143	0.1780

e1ec30/wav2vec2-large-mms-1b-yoruba-colab

wav2vec2-large-mms-1b-yoruba-colab