learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 20

Training Loss	Epoch	Step	Validation Loss	F1
4.2932	1.0	1958	4.0790	0.0315
2.9364	2.0	3916	2.7736	0.3511
2.288	3.0	5874	2.3849	0.4881
1.992	4.0	7832	2.2629	0.5396
1.6931	5.0	9790	2.2066	0.5694
1.3725	6.0	11748	2.2224	0.5770
1.2085	7.0	13706	2.2959	0.5810
0.9111	8.0	15664	2.4032	0.5704
0.8359	9.0	17622	2.4982	0.5719
0.6609	10.0	19580	2.6449	0.5720
0.4818	11.0	21538	2.7611	0.5691
0.417	12.0	23496	2.9075	0.5677
0.285	13.0	25454	3.0922	0.5570
0.1873	14.0	27412	3.2292	0.5582
0.1321	15.0	29370	3.3421	0.5646
0.0938	16.0	31328	3.4509	0.5694
0.0704	17.0	33286	3.5159	0.5695
0.0423	18.0	35244	3.5586	0.5740
0.0262	19.0	37202	3.6021	0.5652
0.0228	20.0	39160	3.6177	0.5654

karim155/wolbanking77-afro-xlmr-large

wolbanking77-afro-xlmr-large