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	0.5155	0.8230	0.5189	0.3466	0.3267
0.5915	2.0	692	0.4712	0.8305	0.6068	0.4030	0.4152
0.4672	3.0	1038	0.4644	0.8327	0.6736	0.4060	0.4224
0.4672	4.0	1384	0.4667	0.8361	0.6805	0.4135	0.4321
0.4614	5.0	1730	0.4633	0.8361	0.6715	0.4145	0.4368
0.4576	6.0	2076	0.4599	0.8357	0.6605	0.4245	0.4437
0.4576	7.0	2422	0.4622	0.8365	0.6768	0.4147	0.4375
0.4553	8.0	2768	0.4527	0.8383	0.6430	0.4410	0.4643
0.4542	9.0	3114	0.4601	0.8335	0.6428	0.4059	0.4254
0.4542	10.0	3460	0.4600	0.8342	0.6642	0.4372	0.4537
0.4588	11.0	3806	0.4585	0.8353	0.6504	0.4105	0.4342
0.4487	12.0	4152	0.4535	0.8391	0.6540	0.4704	0.4947
0.4487	13.0	4498	0.4552	0.8361	0.6410	0.4205	0.4471
0.4577	14.0	4844	0.4558	0.8353	0.6467	0.4113	0.4336
0.4487	15.0	5190	0.4589	0.8335	0.6571	0.4019	0.4216
0.4586	16.0	5536	0.4665	0.8327	0.6580	0.3987	0.4161
0.4586	17.0	5882	0.4513	0.8379	0.6188	0.4343	0.4590

trhgquan/phobert-human-tl-seed-42

phobert-human-tl-seed-42