learning_rate: 5e-06
train_batch_size: 16
eval_batch_size: 32
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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Weighted	F1 Macro
1.9559	1.0	466	1.9700	0.0700	0.0210	0.0316
1.6338	2.0	932	1.7810	0.3673	0.3709	0.3010
1.3372	3.0	1398	1.4718	0.5364	0.5332	0.4835
1.1957	4.0	1864	1.3979	0.6006	0.5944	0.5470
1.1208	5.0	2330	1.4322	0.5816	0.5779	0.5336
1.0224	6.0	2796	1.3638	0.6108	0.6093	0.5765
1.0143	7.0	3262	1.4218	0.6166	0.6133	0.5753
0.9404	8.0	3728	1.4227	0.6079	0.6040	0.5637
0.8748	9.0	4194	1.4276	0.6297	0.6231	0.5846
0.8368	10.0	4660	1.4311	0.6195	0.6218	0.5886
0.8524	11.0	5126	1.4132	0.6385	0.6341	0.6010
0.7606	12.0	5592	1.4652	0.6254	0.6244	0.5959
0.7555	13.0	6058	1.4591	0.6312	0.6295	0.5993
0.7664	14.0	6524	1.4833	0.6312	0.6290	0.6041
0.7142	15.0	6990	1.4986	0.6195	0.6162	0.5851
0.7380	16.0	7456	1.4939	0.6297	0.6269	0.6002
0.7724	17.0	7922	1.5013	0.6254	0.6248	0.5983
0.6518	18.0	8388	1.5146	0.6239	0.6211	0.5935
0.7474	19.0	8854	1.5110	0.6268	0.6262	0.5950

qdovan03/phobert-large-uit-vsmec

phobert-large-uit-vsmec