learning_rate: 0.0001
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
lr_scheduler_warmup_steps: 500
num_epochs: 50

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	346	0.5144	0.8237	0.5296	0.3491	0.3313
0.5988	2.0	692	0.4708	0.8305	0.6087	0.4030	0.4154
0.4669	3.0	1038	0.4640	0.8316	0.6565	0.4041	0.4188
0.4669	4.0	1384	0.4664	0.8376	0.7006	0.4177	0.4389
0.4619	5.0	1730	0.4635	0.8365	0.6788	0.4147	0.4368
0.4576	6.0	2076	0.4599	0.8365	0.6599	0.4270	0.4462
0.4576	7.0	2422	0.4623	0.8357	0.6823	0.4133	0.4355
0.4552	8.0	2768	0.4529	0.8398	0.6587	0.4438	0.4684
0.4543	9.0	3114	0.4595	0.8342	0.6396	0.4083	0.4288
0.4543	10.0	3460	0.4604	0.8346	0.6654	0.4374	0.4541
0.4586	11.0	3806	0.4589	0.8353	0.6563	0.4105	0.4341
0.449	12.0	4152	0.4536	0.8391	0.6540	0.4704	0.4947
0.449	13.0	4498	0.4552	0.8353	0.6381	0.4202	0.4463
0.4579	14.0	4844	0.4561	0.8353	0.6440	0.4113	0.4333
0.4489	15.0	5190	0.4596	0.8338	0.6609	0.4020	0.4219
0.459	16.0	5536	0.4667	0.8323	0.6563	0.3975	0.4143
0.459	17.0	5882	0.4513	0.8379	0.6220	0.4343	0.4589

trhgquan/phobert-human-tl-seed-24

phobert-human-tl-seed-24