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: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	5	9.0143	0.0	9.0143	3.0024
No log	2.0	10	7.2342	0.0	7.2342	2.6896
No log	3.0	15	5.0090	0.0118	5.0090	2.2381
No log	4.0	20	3.1620	0.0040	3.1620	1.7782
No log	5.0	25	1.8866	0.0746	1.8866	1.3735
No log	6.0	30	1.0635	0.0213	1.0635	1.0313
No log	7.0	35	1.0086	0.0522	1.0086	1.0043
No log	8.0	40	0.8279	0.2691	0.8279	0.9099
No log	9.0	45	1.1457	0.1071	1.1457	1.0704
No log	10.0	50	0.7263	0.3885	0.7263	0.8522
No log	11.0	55	0.7759	0.3818	0.7759	0.8809
No log	12.0	60	0.7786	0.3113	0.7786	0.8824
No log	13.0	65	0.7315	0.4194	0.7315	0.8553
No log	14.0	70	0.6497	0.5026	0.6497	0.8061
No log	15.0	75	0.6157	0.5108	0.6157	0.7846
No log	16.0	80	0.6840	0.4659	0.6840	0.8271
No log	17.0	85	0.7950	0.4503	0.7950	0.8916
No log	18.0	90	0.6647	0.5062	0.6647	0.8153
No log	19.0	95	0.6521	0.4767	0.6521	0.8075
No log	20.0	100	0.6765	0.4942	0.6765	0.8225
No log	21.0	105	0.7131	0.4932	0.7131	0.8445
No log	22.0	110	0.6793	0.5136	0.6793	0.8242
No log	23.0	115	0.7821	0.4645	0.7821	0.8844
No log	24.0	120	0.8399	0.4009	0.8399	0.9165
No log	25.0	125	0.6906	0.4766	0.6906	0.8310
No log	26.0	130	0.6785	0.5142	0.6785	0.8237
No log	27.0	135	0.6944	0.4882	0.6944	0.8333
No log	28.0	140	0.7776	0.4443	0.7776	0.8818
No log	29.0	145	0.9520	0.4274	0.9520	0.9757
No log	30.0	150	0.7243	0.4780	0.7243	0.8510
No log	31.0	155	0.6530	0.4824	0.6530	0.8081
No log	32.0	160	0.6328	0.5170	0.6328	0.7955
No log	33.0	165	0.6384	0.5205	0.6384	0.7990
No log	34.0	170	0.6242	0.4984	0.6242	0.7901
No log	35.0	175	0.6748	0.4654	0.6748	0.8215
No log	36.0	180	0.6461	0.4845	0.6461	0.8038
No log	37.0	185	0.6563	0.4754	0.6563	0.8101
No log	38.0	190	0.8724	0.4243	0.8724	0.9340
No log	39.0	195	0.6463	0.4820	0.6463	0.8039
No log	40.0	200	0.6458	0.4585	0.6458	0.8036
No log	41.0	205	0.7219	0.4513	0.7219	0.8496
No log	42.0	210	0.9622	0.3850	0.9622	0.9809
No log	43.0	215	0.6156	0.4749	0.6156	0.7846
No log	44.0	220	0.9332	0.3930	0.9332	0.9660
No log	45.0	225	0.6490	0.4881	0.6490	0.8056
No log	46.0	230	0.6718	0.4438	0.6718	0.8196
No log	47.0	235	0.6727	0.4384	0.6727	0.8202
No log	48.0	240	0.8133	0.4222	0.8133	0.9018

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k7_task1_organization_sp040_lw010_fold4

Trial3BERT_AugV8_k7_task1_organization_sp040_lw010_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k7_task1_organization_sp040_lw010_fold4