learning_rate: 0.001
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
num_epochs: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
29.4973	0.3195	100	3.4384	0.9990
1.4758	0.6390	200	0.6976	0.5184
1.7661	0.9585	300	0.6074	0.4742
0.9346	1.2780	400	0.5946	0.4596
0.6044	1.5974	500	0.5625	0.4750
0.7533	1.9169	600	0.5578	0.4500
0.7023	2.2364	700	0.5483	0.4298
0.4969	2.5559	800	0.5361	0.4193
0.5412	2.8754	900	0.5401	0.4236
0.5239	3.1949	1000	0.5485	0.4202
0.5133	3.5144	1100	0.5390	0.4164
0.4787	3.8339	1200	0.5371	0.4159
0.4596	4.1534	1300	0.5187	0.4050
0.4482	4.4728	1400	0.5175	0.4076
0.4293	4.7923	1500	0.5176	0.4064

robertp408/wav2vec2-large-mms-1b-aft-meh

wav2vec2-large-mms-1b-aft-meh