learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: 50
num_epochs: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
10.9096	0.2580	200	4.4784	97.7502
2.5397	0.5160	400	1.5540	34.0754
1.2018	0.7741	600	1.1079	26.2805
0.9714	1.0321	800	0.8312	20.3360
0.7789	1.2901	1000	0.7358	18.0980
0.6942	1.5481	1200	0.6558	17.2580
0.6176	1.8062	1400	0.5847	15.0787
0.5476	2.0642	1600	0.5941	15.8365
0.4525	2.3222	1800	0.5006	13.3870
0.4068	2.5802	2000	0.4577	12.6527
0.37	2.8383	2200	0.4214	11.5484

Gummybear05/wav2vec2-1b-E3

wav2vec2-1b-E3