learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
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
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.4545	150	0.6715	0.8039	0.6526
No log	0.9091	300	0.5454	0.8190	0.7119
0.8181	1.3636	450	0.4656	0.8477	0.7869
0.8181	1.8182	600	0.4373	0.8587	0.8265
0.4392	2.2727	750	0.4858	0.8462	0.8277
0.4392	2.7273	900	0.4328	0.8598	0.8236
0.3024	3.1818	1050	0.4685	0.8498	0.8117
0.3024	3.6364	1200	0.4719	0.8543	0.8361
0.2267	4.0909	1350	0.4891	0.8579	0.8274
0.2267	4.5455	1500	0.5106	0.8583	0.8316
0.1617	5.0	1650	0.4993	0.8534	0.8119
0.1617	5.4545	1800	0.5903	0.8467	0.8233
0.1617	5.9091	1950	0.5641	0.8539	0.8237
0.1284	6.3636	2100	0.6364	0.8545	0.8311
0.1284	6.8182	2250	0.6127	0.8577	0.8273
0.0952	7.2727	2400	0.6359	0.8547	0.8344
0.0952	7.7273	2550	0.6306	0.8575	0.8342
0.088	8.1818	2700	0.6874	0.8530	0.8299
0.088	8.6364	2850	0.7143	0.8536	0.8300
0.0668	9.0909	3000	0.7497	0.8515	0.8298
0.0668	9.5455	3150	0.7448	0.8520	0.8260
0.0545	10.0	3300	0.7955	0.8483	0.8189
0.0545	10.4545	3450	0.7905	0.8541	0.8280
0.0545	10.9091	3600	0.8094	0.8538	0.8269
0.0446	11.3636	3750	0.8105	0.8498	0.8243
0.0446	11.8182	3900	0.8289	0.8503	0.8237
0.0372	12.2727	4050	0.8724	0.8496	0.8238
0.0372	12.7273	4200	0.8375	0.8538	0.8269
0.0331	13.1818	4350	0.8658	0.8511	0.8274
0.0331	13.6364	4500	0.8881	0.8519	0.8268
0.0285	14.0909	4650	0.8674	0.8515	0.8270
0.0285	14.5455	4800	0.8860	0.8532	0.8288
0.0262	15.0	4950	0.8820	0.8519	0.8292

phuongdtt/web-content-sumary-cls

web-content-sumary-cls