learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
No log	1.0	72	5.8637
21.3135	2.0	144	1.6856
1.3759	3.0	216	1.0404
1.3759	4.0	288	0.6246
0.6906	5.0	360	0.3509
0.3575	6.0	432	0.2973
0.3583	7.0	504	0.1697
0.3583	8.0	576	0.1578
0.2914	9.0	648	0.1353
0.1716	10.0	720	0.1145
0.1716	11.0	792	0.0990
0.2055	12.0	864	0.0975
0.1352	13.0	936	0.0818
0.116	14.0	1008	0.0789
0.116	15.0	1080	0.0812
0.1264	16.0	1152	0.0800
0.1599	17.0	1224	0.0762
0.1599	18.0	1296	0.0720
0.0694	19.0	1368	0.0726
0.0742	20.0	1440	0.0718

zera09/segment_mask_token_v2

segment_mask_token_v2