learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 25

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	92	1.1453	0.2556
1.2432	2.0	184	1.1348	0.2269
1.1447	3.0	276	1.1944	0.2624
1.0924	4.0	368	0.9543	0.4673
0.9918	5.0	460	1.0970	0.4892
0.8981	6.0	552	1.2106	0.5669
0.9261	7.0	644	0.8952	0.6269
0.8208	8.0	736	1.1409	0.5480
0.645	9.0	828	1.7286	0.5748
0.6745	10.0	920	1.4750	0.6229
0.5947	11.0	1012	1.7091	0.6628
0.517	12.0	1104	3.0948	0.6180
0.517	13.0	1196	2.5940	0.6671
0.4901	14.0	1288	2.9827	0.6348
0.2048	15.0	1380	3.1023	0.6483
0.1188	16.0	1472	3.7382	0.6332
0.1236	17.0	1564	3.5499	0.6535
0.0828	18.0	1656	3.6281	0.6533
0.0479	19.0	1748	3.2783	0.6820
0.0081	20.0	1840	3.6055	0.6676
0.031	21.0	1932	3.6255	0.6778
0.0008	22.0	2024	3.6279	0.6850
0.0	23.0	2116	3.6376	0.6676
0.0001	24.0	2208	3.6440	0.6676
0.0	25.0	2300	3.6513	0.6676

BayesTensor/modernbert_seeker1

modernbert_seeker1