learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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_steps: 286
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Accuracy	F1
0.7008	1.0	96	0.6943	0.3790	0.5	0.7581	0.4312
0.6792	2.0	192	0.6550	0.6653	0.6377	0.7620	0.6474
0.6411	3.0	288	0.6031	0.6614	0.7021	0.7218	0.6687
0.5855	4.0	384	0.5637	0.7041	0.7064	0.7826	0.7052
0.5165	5.0	480	0.6010	0.6694	0.7180	0.7209	0.6749
0.4367	6.0	576	0.6018	0.6625	0.6977	0.7297	0.6711
0.3874	7.0	672	1.0209	0.7059	0.6566	0.7865	0.6721
0.33	8.0	768	0.8338	0.6908	0.6833	0.7747	0.6868
0.2592	9.0	864	0.8379	0.6822	0.6739	0.7689	0.6777
0.2231	10.0	960	0.8859	0.6844	0.6787	0.7698	0.6814

FarhanAmin0068/xlm-r-base-shared-task

xlm-r-base-shared-task