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	3	8.8682	0.0	8.8657	2.9775
No log	2.0	6	5.5169	0.0367	5.5148	2.3484
No log	3.0	9	3.9154	0.0	3.9140	1.9784
No log	4.0	12	2.6786	0.0	2.6769	1.6361
No log	5.0	15	1.9313	0.0545	1.9296	1.3891
No log	6.0	18	1.4447	0.0	1.4431	1.2013
No log	7.0	21	1.2280	0.0	1.2265	1.1075
No log	8.0	24	1.9846	-0.0514	1.9826	1.4080
No log	9.0	27	1.0326	0.0	1.0313	1.0155
No log	10.0	30	0.9998	0.0	0.9984	0.9992
No log	11.0	33	1.5747	0.0086	1.5725	1.2540
No log	12.0	36	1.2213	0.0259	1.2195	1.1043
No log	13.0	39	0.8686	0.3226	0.8674	0.9313
No log	14.0	42	1.0640	0.1761	1.0625	1.0308
No log	15.0	45	0.9932	0.2755	0.9917	0.9958
No log	16.0	48	0.7279	0.3589	0.7267	0.8524
No log	17.0	51	0.9410	0.2396	0.9396	0.9693
No log	18.0	54	1.0646	0.1645	1.0630	1.0310
No log	19.0	57	0.9246	0.3260	0.9234	0.9609
No log	20.0	60	1.2591	0.1358	1.2572	1.1213
No log	21.0	63	1.2582	0.1567	1.2563	1.1208
No log	22.0	66	0.9639	0.3535	0.9629	0.9813
No log	23.0	69	1.5847	0.1175	1.5824	1.2579
No log	24.0	72	1.0851	0.2634	1.0837	1.0410
No log	25.0	75	1.5542	0.0972	1.5517	1.2457
No log	26.0	78	0.9254	0.3676	0.9244	0.9615
No log	27.0	81	0.8761	0.3678	0.8750	0.9354
No log	28.0	84	1.4024	0.2129	1.4006	1.1835
No log	29.0	87	0.9094	0.4134	0.9086	0.9532
No log	30.0	90	1.2688	0.1722	1.2669	1.1256
No log	31.0	93	1.2246	0.1824	1.2228	1.1058
No log	32.0	96	1.0213	0.3514	1.0201	1.0100
No log	33.0	99	1.5813	0.1960	1.5793	1.2567
No log	34.0	102	1.0233	0.2629	1.0217	1.0108
No log	35.0	105	1.0662	0.2291	1.0646	1.0318
No log	36.0	108	1.2655	0.1589	1.2635	1.1241
No log	37.0	111	0.9286	0.3712	0.9273	0.9630
No log	38.0	114	1.1705	0.2131	1.1688	1.0811
No log	39.0	117	1.2543	0.1335	1.2525	1.1192
No log	40.0	120	1.1981	0.1566	1.1964	1.0938
No log	41.0	123	1.0376	0.2661	1.0360	1.0179
No log	42.0	126	1.2243	0.2047	1.2225	1.1057
No log	43.0	129	1.0049	0.2751	1.0036	1.0018
No log	44.0	132	1.2093	0.2779	1.2075	1.0989

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k3_task1_organization_sp020_lw060_fold1

BERT_AugV8_k3_task1_organization_sp020_lw060_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k3_task1_organization_sp020_lw060_fold1