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 results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	3	8.2665	0.0	8.2665	2.8752
No log	2.0	6	6.9694	0.0	6.9694	2.6400
No log	3.0	9	5.7600	0.0157	5.7600	2.4000
No log	4.0	12	4.5508	0.0039	4.5508	2.1333
No log	5.0	15	3.4757	0.0	3.4757	1.8643
No log	6.0	18	2.4413	0.0961	2.4413	1.5625
No log	7.0	21	1.6835	0.0316	1.6835	1.2975
No log	8.0	24	1.1498	0.0316	1.1498	1.0723
No log	9.0	27	0.8727	0.0790	0.8727	0.9342
No log	10.0	30	0.8105	0.2974	0.8105	0.9003
No log	11.0	33	0.7052	0.4344	0.7052	0.8398
No log	12.0	36	0.6795	0.4673	0.6795	0.8243
No log	13.0	39	1.1249	0.2084	1.1249	1.0606
No log	14.0	42	0.6728	0.4633	0.6728	0.8203
No log	15.0	45	0.5551	0.4863	0.5551	0.7450
No log	16.0	48	0.7990	0.4074	0.7990	0.8939
No log	17.0	51	0.5523	0.4549	0.5523	0.7431
No log	18.0	54	1.0414	0.3434	1.0414	1.0205
No log	19.0	57	0.5574	0.5129	0.5574	0.7466
No log	20.0	60	1.0578	0.3518	1.0578	1.0285
No log	21.0	63	0.6452	0.4948	0.6452	0.8033
No log	22.0	66	0.7417	0.4664	0.7417	0.8612
No log	23.0	69	0.8244	0.4151	0.8244	0.9079
No log	24.0	72	0.6422	0.5288	0.6422	0.8013
No log	25.0	75	0.7321	0.4766	0.7321	0.8556
No log	26.0	78	0.6782	0.4822	0.6782	0.8235
No log	27.0	81	0.6605	0.5083	0.6605	0.8127
No log	28.0	84	0.5724	0.5519	0.5724	0.7566
No log	29.0	87	0.5970	0.5633	0.5970	0.7727
No log	30.0	90	0.6725	0.5342	0.6725	0.8201
No log	31.0	93	0.6365	0.5438	0.6365	0.7978
No log	32.0	96	0.8209	0.4606	0.8209	0.9060
No log	33.0	99	0.6026	0.5512	0.6026	0.7763
No log	34.0	102	0.6404	0.5357	0.6404	0.8002
No log	35.0	105	0.5858	0.5410	0.5858	0.7654
No log	36.0	108	0.6664	0.5301	0.6664	0.8164
No log	37.0	111	0.8390	0.4626	0.8390	0.9160
No log	38.0	114	0.6522	0.5499	0.6522	0.8076
No log	39.0	117	0.6177	0.5248	0.6177	0.7859
No log	40.0	120	0.6319	0.5202	0.6319	0.7949
No log	41.0	123	0.5850	0.5494	0.5850	0.7648
No log	42.0	126	0.6198	0.5548	0.6198	0.7873
No log	43.0	129	0.6292	0.5636	0.6292	0.7932
No log	44.0	132	0.6204	0.5261	0.6204	0.7876
No log	45.0	135	0.5765	0.5335	0.5765	0.7593
No log	46.0	138	0.5831	0.5543	0.5831	0.7636
No log	47.0	141	0.6207	0.5350	0.6207	0.7879
No log	48.0	144	0.6257	0.5407	0.6257	0.7910
No log	49.0	147	0.5747	0.5324	0.5747	0.7581
No log	50.0	150	0.6509	0.5148	0.6509	0.8068
No log	51.0	153	0.5910	0.5282	0.5910	0.7688
No log	52.0	156	0.6037	0.5318	0.6037	0.7770
No log	53.0	159	0.5847	0.5187	0.5847	0.7647
No log	54.0	162	0.5773	0.5404	0.5773	0.7598
No log	55.0	165	0.5762	0.5624	0.5762	0.7591
No log	56.0	168	0.5728	0.5660	0.5728	0.7568
No log	57.0	171	0.6682	0.5249	0.6682	0.8174
No log	58.0	174	0.5849	0.5664	0.5849	0.7648
No log	59.0	177	0.5756	0.5543	0.5756	0.7587
No log	60.0	180	0.6400	0.5187	0.6400	0.8000
No log	61.0	183	0.5587	0.5202	0.5587	0.7475
No log	62.0	186	0.5802	0.5597	0.5802	0.7617
No log	63.0	189	0.5721	0.5347	0.5721	0.7564
No log	64.0	192	0.5966	0.5266	0.5966	0.7724
No log	65.0	195	0.5657	0.5311	0.5657	0.7521
No log	66.0	198	0.5724	0.5282	0.5724	0.7565
No log	67.0	201	0.5527	0.5377	0.5527	0.7434
No log	68.0	204	0.6022	0.5351	0.6022	0.7760
No log	69.0	207	0.5894	0.5335	0.5894	0.7677
No log	70.0	210	0.5580	0.5344	0.5580	0.7470
No log	71.0	213	0.5639	0.5241	0.5639	0.7509
No log	72.0	216	0.5446	0.5274	0.5446	0.7379
No log	73.0	219	0.5503	0.5366	0.5503	0.7418
No log	74.0	222	0.5869	0.5373	0.5869	0.7661
No log	75.0	225	0.6055	0.5314	0.6055	0.7781
No log	76.0	228	0.5651	0.5566	0.5651	0.7517
No log	77.0	231	0.5527	0.5497	0.5527	0.7434
No log	78.0	234	0.5929	0.5286	0.5929	0.7700

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/ASAP_FineTuningBERT_AugV15_k3_task1_organization_k3_k3_fold0

ASAP_FineTuningBERT_AugV15_k3_task1_organization_k3_k3_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
ASAP_FineTuningBERT_AugV15_k3_task1_organization_k3_k3_fold0