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	0.5156	0.8237	0.5296	0.3491	0.3313
0.5885	2.0	692	0.4706	0.8316	0.6120	0.4056	0.4188
0.4669	3.0	1038	0.4642	0.8323	0.6244	0.4044	0.4196
0.4669	4.0	1384	0.4664	0.8365	0.6932	0.4151	0.4351
0.4617	5.0	1730	0.4633	0.8361	0.6690	0.4145	0.4366
0.4579	6.0	2076	0.4603	0.8365	0.6619	0.4273	0.4483
0.4579	7.0	2422	0.4622	0.8365	0.6839	0.4147	0.4373
0.4554	8.0	2768	0.4528	0.8394	0.6474	0.4414	0.4654
0.4544	9.0	3114	0.4597	0.8338	0.6444	0.4071	0.4271
0.4544	10.0	3460	0.4606	0.8338	0.6544	0.4356	0.4510
0.4587	11.0	3806	0.4589	0.8353	0.6548	0.4105	0.4342
0.4488	12.0	4152	0.4534	0.8394	0.6550	0.4705	0.4951
0.4488	13.0	4498	0.4554	0.8361	0.6420	0.4216	0.4483
0.4575	14.0	4844	0.4562	0.8353	0.6472	0.4113	0.4332
0.4491	15.0	5190	0.4593	0.8338	0.6609	0.4020	0.4219
0.4586	16.0	5536	0.4665	0.8327	0.6580	0.3987	0.4161
0.4586	17.0	5882	0.4514	0.8383	0.6232	0.4356	0.4603

trhgquan/phobert-human-tl-seed-1337

phobert-human-tl-seed-1337