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	2	11.6875	0.0145	11.6875	3.4187
No log	2.0	4	11.0251	0.0	11.0251	3.3204
No log	3.0	6	10.1830	0.0	10.1830	3.1911
No log	4.0	8	8.7337	0.0	8.7337	2.9553
No log	5.0	10	7.8238	0.0	7.8238	2.7971
No log	6.0	12	7.1621	0.0	7.1621	2.6762
No log	7.0	14	6.1447	0.0	6.1447	2.4788
No log	8.0	16	5.0290	0.0	5.0290	2.2425
No log	9.0	18	4.0371	0.0	4.0371	2.0093
No log	10.0	20	3.2905	0.0	3.2905	1.8140
No log	11.0	22	2.6520	0.0945	2.6520	1.6285
No log	12.0	24	2.1779	0.0411	2.1779	1.4758
No log	13.0	26	1.7760	0.0	1.7760	1.3327
No log	14.0	28	1.4063	0.0	1.4063	1.1859
No log	15.0	30	1.1401	0.0	1.1401	1.0677
No log	16.0	32	0.9591	0.0	0.9591	0.9793
No log	17.0	34	0.8321	0.3462	0.8321	0.9122
No log	18.0	36	0.7287	0.3179	0.7287	0.8536
No log	19.0	38	0.6670	0.2657	0.6670	0.8167
No log	20.0	40	0.5908	0.3284	0.5908	0.7687
No log	21.0	42	0.5520	0.3465	0.5520	0.7430
No log	22.0	44	0.5104	0.5075	0.5104	0.7144
No log	23.0	46	0.5054	0.6780	0.5054	0.7109
No log	24.0	48	0.5329	0.6404	0.5329	0.7300
No log	25.0	50	0.6156	0.6168	0.6156	0.7846
No log	26.0	52	0.5997	0.6179	0.5997	0.7744
No log	27.0	54	0.6880	0.6260	0.6880	0.8295
No log	28.0	56	0.7572	0.5658	0.7572	0.8701
No log	29.0	58	0.8370	0.5549	0.8370	0.9149
No log	30.0	60	0.7471	0.5722	0.7471	0.8644
No log	31.0	62	0.6273	0.5739	0.6273	0.7921
No log	32.0	64	0.5709	0.6264	0.5709	0.7556
No log	33.0	66	0.4826	0.6642	0.4826	0.6947
No log	34.0	68	0.4504	0.6346	0.4504	0.6711
No log	35.0	70	0.8137	0.5735	0.8137	0.9021
No log	36.0	72	0.4814	0.6388	0.4814	0.6938
No log	37.0	74	0.5260	0.6595	0.5260	0.7252
No log	38.0	76	0.7654	0.6201	0.7654	0.8749
No log	39.0	78	0.7359	0.6113	0.7359	0.8579
No log	40.0	80	0.4796	0.6546	0.4796	0.6926
No log	41.0	82	0.5178	0.6368	0.5178	0.7196
No log	42.0	84	0.4913	0.6529	0.4913	0.7010
No log	43.0	86	0.5205	0.6474	0.5205	0.7214

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold3

Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold3