learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use 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: 100

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	1	13.8595	-0.0011	13.8578	3.7226
No log	2.0	2	10.0654	0.0047	10.0639	3.1724
No log	3.0	3	9.5908	0.0018	9.5891	3.0966
No log	4.0	4	9.1866	0.0	9.1848	3.0307
No log	5.0	5	8.7108	0.0	8.7091	2.9511
No log	6.0	6	8.2242	0.0	8.2226	2.8675
No log	7.0	7	7.7083	0.0	7.7067	2.7761
No log	8.0	8	7.1433	0.0	7.1418	2.6724
No log	9.0	9	6.5056	0.0	6.5042	2.5503
No log	10.0	10	5.8066	0.0554	5.8052	2.4094
No log	11.0	11	5.2442	0.0069	5.2428	2.2897
No log	12.0	12	4.9310	0.0022	4.9297	2.2203
No log	13.0	13	4.2875	0.0	4.2863	2.0703
No log	14.0	14	3.9747	0.0	3.9736	1.9934
No log	15.0	15	3.7456	0.0	3.7445	1.9351
No log	16.0	16	3.4377	0.0	3.4367	1.8538
No log	17.0	17	3.0401	0.0	3.0391	1.7433
No log	18.0	18	2.5682	0.0448	2.5673	1.6023
No log	19.0	19	2.4585	0.0432	2.4577	1.5677
No log	20.0	20	2.1270	0.0374	2.1263	1.4582

genki10/ASAP_FineTuningBERT_UnAugV7_k1_task1_organization_k1_k1_fold3

ASAP_FineTuningBERT_UnAugV7_k1_task1_organization_k1_k1_fold3