Version12NewTestASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold4

genki10/Version12NewTestASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold4

Version12NewTestASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold4 is a text classification model from genki10. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 14, 2025
Updated: Mar 14, 2025
SHA: 43c2599d

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Base models

Model card

From the Hugging Face model README

Version12NewTestASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold4

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9478
Qwk: 0.4331
Mse: 0.9478
Rmse: 0.9735

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

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	13.2018	0.0	13.2018	3.6334
No log	2.0	4	12.5228	0.0	12.5228	3.5388
No log	3.0	6	11.9526	-0.0163	11.9526	3.4572
No log	4.0	8	11.0872	0.0	11.0872	3.3297
No log	5.0	10	9.2890	0.0	9.2890	3.0478
No log	6.0	12	8.1710	0.0	8.1710	2.8585
No log	7.0	14	6.8565	0.0	6.8565	2.6185
No log	8.0	16	5.8130	0.0241	5.8130	2.4110
No log	9.0	18	5.0719	0.0	5.0719	2.2521
No log	10.0	20	4.1394	0.0	4.1394	2.0345
No log	11.0	22	3.5454	0.0	3.5454	1.8829
No log	12.0	24	2.9669	0.0	2.9669	1.7225
No log	13.0	26	2.4135	0.1176	2.4135	1.5536
No log	14.0	28	1.9616	0.0449	1.9616	1.4006
No log	15.0	30	1.6336	0.0449	1.6336	1.2781
No log	16.0	32	1.3801	0.0449	1.3801	1.1748
No log	17.0	34	1.2502	0.0449	1.2502	1.1181
No log	18.0	36	1.4292	0.1227	1.4292	1.1955
No log	19.0	38	1.2020	0.1227	1.2020	1.0964
No log	20.0	40	0.8380	0.3021	0.8380	0.9154
No log	21.0	42	0.9421	0.3902	0.9421	0.9706
No log	22.0	44	0.8962	0.3802	0.8962	0.9467
No log	23.0	46	1.0008	0.3080	1.0008	1.0004
No log	24.0	48	1.0728	0.3460	1.0728	1.0358
No log	25.0	50	0.9660	0.3827	0.9660	0.9828
No log	26.0	52	0.7947	0.3798	0.7947	0.8914
No log	27.0	54	0.7581	0.38	0.7581	0.8707
No log	28.0	56	0.8511	0.4463	0.8511	0.9226
No log	29.0	58	0.9433	0.4509	0.9433	0.9713
No log	30.0	60	0.9438	0.4858	0.9438	0.9715
No log	31.0	62	0.9298	0.4013	0.9298	0.9643
No log	32.0	64	0.9448	0.4160	0.9448	0.9720
No log	33.0	66	0.9314	0.4591	0.9314	0.9651
No log	34.0	68	0.9114	0.5086	0.9114	0.9546
No log	35.0	70	0.9659	0.4853	0.9659	0.9828
No log	36.0	72	0.9759	0.4561	0.9759	0.9879
No log	37.0	74	1.0166	0.4274	1.0166	1.0083
No log	38.0	76	1.2327	0.3660	1.2327	1.1103
No log	39.0	78	1.2374	0.3667	1.2374	1.1124
No log	40.0	80	1.0347	0.4351	1.0347	1.0172
No log	41.0	82	1.0142	0.4242	1.0142	1.0071
No log	42.0	84	1.0276	0.4418	1.0276	1.0137
No log	43.0	86	1.2289	0.4218	1.2289	1.1085
No log	44.0	88	1.0814	0.4832	1.0814	1.0399
No log	45.0	90	0.8933	0.4081	0.8933	0.9451
No log	46.0	92	0.9511	0.4200	0.9511	0.9753
No log	47.0	94	1.1722	0.4342	1.1722	1.0827
No log	48.0	96	1.0384	0.4596	1.0384	1.0190
No log	49.0	98	0.9393	0.4473	0.9393	0.9692
No log	50.0	100	0.9360	0.4387	0.9360	0.9675
No log	51.0	102	1.1177	0.4404	1.1177	1.0572
No log	52.0	104	1.3417	0.4262	1.3417	1.1583
No log	53.0	106	1.2049	0.4649	1.2049	1.0977
No log	54.0	108	0.9478	0.4331	0.9478	0.9735

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 14, 2025
Updated: Mar 14, 2025