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 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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
4.1579	2.0833	400	1.6854	0.4430
1.5758	4.1667	800	1.0236	0.2938
1.2033	6.25	1200	0.7921	0.2512
0.9625	8.3333	1600	0.5875	0.1755
0.8087	10.4167	2000	0.4633	0.1577
0.6701	12.5	2400	0.3454	0.1186
0.5412	14.5833	2800	0.2316	0.0844
0.4432	16.6667	3200	0.1534	0.0565
0.3654	18.75	3600	0.0914	0.0379
0.288	20.8333	4000	0.0501	0.0194
0.2336	22.9167	4400	0.0333	0.0117
0.2041	25.0	4800	0.0197	0.0069
0.1659	27.0833	5200	0.0108	0.0033
0.1436	29.1667	5600	0.0093	0.0027

Benjaminpwh/xls-r-base-300m-toratan-240

xls-r-base-300m-toratan-240