learning_rate: 1e-06
train_batch_size: 128
eval_batch_size: 512
seed: 42
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
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss
0.5508	1.0	2304	0.5309
0.4909	2.0	4608	0.4951
0.4684	3.0	6912	0.4759
0.4607	4.0	9216	0.4630
0.4396	5.0	11520	0.4563
0.4361	6.0	13824	0.4505
0.4235	7.0	16128	0.4534
0.4199	8.0	18432	0.4429
0.4154	9.0	20736	0.4396
0.4155	10.0	23040	0.4369
0.4021	11.0	25344	0.4324
0.3966	12.0	27648	0.4323
0.3929	13.0	29952	0.4292
0.3908	14.0	32256	0.4273
0.3872	15.0	34560	0.4289
0.3834	16.0	36864	0.4261
0.3767	17.0	39168	0.4276
0.3775	18.0	41472	0.4270
0.367	19.0	43776	0.4260
0.3673	20.0	46080	0.4275
0.3726	21.0	48384	0.4233
0.3575	22.0	50688	0.4248
0.3633	23.0	52992	0.4251
0.36	24.0	55296	0.4237

mhr2004/answerdotai-ModernBERT-basemhr2004-atomic.anion.train.no1e-06-64

answerdotai-ModernBERT-basemhr2004-atomic.anion.train.no1e-06-64