learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 5

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
No log	0.1770	100	5.0786	0.8950	0.5327	0.4279	0.4746
No log	0.3540	200	4.3278	0.9257	0.5783	0.5838	0.5810
No log	0.5310	300	3.6620	0.9411	0.6940	0.6612	0.6772
No log	0.7080	400	3.1590	0.9515	0.7420	0.7211	0.7314
4.1504	0.8850	500	2.5666	0.9580	0.7770	0.7580	0.7674
4.1504	1.0619	600	2.1826	0.9638	0.7987	0.7954	0.7970
4.1504	1.2389	700	1.9754	0.9666	0.8168	0.8094	0.8131
4.1504	1.4159	800	1.8447	0.9686	0.8372	0.8151	0.8260
4.1504	1.5929	900	1.6676	0.9706	0.8457	0.8283	0.8369
2.012	1.7699	1000	1.5743	0.9728	0.8510	0.8450	0.8480
2.012	1.9469	1100	1.4473	0.9749	0.8641	0.8556	0.8598
2.012	2.1239	1200	1.4000	0.9749	0.8641	0.8551	0.8596
2.012	2.3009	1300	1.3287	0.9772	0.8764	0.8688	0.8726
2.012	2.4779	1400	1.2995	0.9770	0.8773	0.8659	0.8715
1.3018	2.6549	1500	1.2397	0.9778	0.8793	0.8724	0.8759
1.3018	2.8319	1600	1.2059	0.9786	0.8857	0.8753	0.8805
1.3018	3.0088	1700	1.1763	0.9790	0.8857	0.8798	0.8828
1.3018	3.1858	1800	1.1744	0.9786	0.8816	0.8788	0.8802
1.3018	3.3628	1900	1.1356	0.9793	0.8869	0.8818	0.8843
0.9668	3.5398	2000	1.1365	0.9791	0.8857	0.8806	0.8832
0.9668	3.7168	2100	1.1084	0.9796	0.8872	0.8838	0.8855
0.9668	3.8938	2200	1.0939	0.9800	0.8892	0.8864	0.8878
0.9668	4.0708	2300	1.0974	0.9796	0.8881	0.8834	0.8857
0.9668	4.2478	2400	1.0786	0.9802	0.8916	0.8864	0.8890
0.7915	4.4248	2500	1.0766	0.9803	0.8910	0.8881	0.8896
0.7915	4.6018	2600	1.0746	0.9807	0.8925	0.8909	0.8917
0.7915	4.7788	2700	1.0686	0.9803	0.8910	0.8887	0.8898
0.7915	4.9558	2800	1.0637	0.9802	0.8907	0.8873	0.8890

lekhnathrijal/bert-question-classifier

bert-question-classifier