Version12LowDevASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold3

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold3

Version12LowDevASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold3 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 10, 2025
Updated: Mar 10, 2025
SHA: 422de956

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Base models

Model card

From the Hugging Face model README

Version12LowDevASAP_FineTuningBERT_AugV12_k1_task1_organization_k1_k1_fold3

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: 0.5184
Qwk: 0.6596
Mse: 0.5184
Rmse: 0.7200

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	1	11.1868	-0.0066	11.1868	3.3447
No log	2.0	2	10.6676	0.0	10.6676	3.2661
No log	3.0	3	9.7907	0.0	9.7907	3.1290
No log	4.0	4	8.8679	0.0	8.8679	2.9779
No log	5.0	5	8.0376	0.0	8.0376	2.8351
No log	6.0	6	7.1973	0.0	7.1973	2.6828
No log	7.0	7	6.3757	0.0491	6.3757	2.5250
No log	8.0	8	5.6822	-0.0009	5.6822	2.3837
No log	9.0	9	5.1847	0.0	5.1847	2.2770
No log	10.0	10	4.6906	0.0	4.6906	2.1658
No log	11.0	11	4.1946	0.0	4.1946	2.0481
No log	12.0	12	3.7711	0.0	3.7711	1.9419
No log	13.0	13	3.4810	0.0	3.4810	1.8658
No log	14.0	14	3.1285	0.0	3.1285	1.7687
No log	15.0	15	2.8309	-0.0085	2.8309	1.6825
No log	16.0	16	2.5835	0.0130	2.5835	1.6073
No log	17.0	17	2.3630	0.0036	2.3630	1.5372
No log	18.0	18	2.1128	0.0	2.1128	1.4536
No log	19.0	19	1.9005	0.0	1.9005	1.3786
No log	20.0	20	1.7173	0.0	1.7173	1.3105
No log	21.0	21	1.5634	0.0	1.5634	1.2504
No log	22.0	22	1.4377	0.0	1.4377	1.1990
No log	23.0	23	1.3215	0.0	1.3215	1.1496
No log	24.0	24	1.2174	0.0	1.2174	1.1034
No log	25.0	25	1.1723	0.0	1.1723	1.0827
No log	26.0	26	1.0570	0.0	1.0570	1.0281
No log	27.0	27	0.9383	0.1244	0.9383	0.9687
No log	28.0	28	0.8751	0.3486	0.8751	0.9355
No log	29.0	29	0.8166	0.3333	0.8166	0.9037
No log	30.0	30	0.7755	0.3333	0.7755	0.8806
No log	31.0	31	0.7369	0.3677	0.7369	0.8585
No log	32.0	32	0.6842	0.3284	0.6842	0.8272
No log	33.0	33	0.6533	0.3233	0.6533	0.8083
No log	34.0	34	0.6124	0.3529	0.6124	0.7826
No log	35.0	35	0.6286	0.4263	0.6286	0.7929
No log	36.0	36	0.6107	0.4263	0.6107	0.7815
No log	37.0	37	0.5460	0.3596	0.5460	0.7389
No log	38.0	38	0.5500	0.3300	0.5500	0.7416
No log	39.0	39	0.5209	0.3773	0.5209	0.7218
No log	40.0	40	0.5112	0.3878	0.5112	0.7150
No log	41.0	41	0.4982	0.4256	0.4982	0.7058
No log	42.0	42	0.5079	0.4131	0.5079	0.7127
No log	43.0	43	0.5021	0.5562	0.5021	0.7086
No log	44.0	44	0.4902	0.5813	0.4902	0.7002
No log	45.0	45	0.4976	0.6157	0.4976	0.7054
No log	46.0	46	0.4837	0.6466	0.4837	0.6955
No log	47.0	47	0.4843	0.6112	0.4843	0.6959
No log	48.0	48	0.4924	0.6613	0.4924	0.7017
No log	49.0	49	0.4823	0.6408	0.4823	0.6945
No log	50.0	50	0.4933	0.6246	0.4933	0.7023
No log	51.0	51	0.4881	0.6680	0.4881	0.6986
No log	52.0	52	0.5288	0.5859	0.5288	0.7272
No log	53.0	53	0.5622	0.6073	0.5622	0.7498
No log	54.0	54	0.5208	0.6285	0.5208	0.7216
No log	55.0	55	0.5167	0.6190	0.5167	0.7188
No log	56.0	56	0.5167	0.6302	0.5167	0.7188
No log	57.0	57	0.5140	0.6117	0.5140	0.7170
No log	58.0	58	0.5503	0.6148	0.5503	0.7419
No log	59.0	59	0.5867	0.6148	0.5867	0.7659
No log	60.0	60	0.5396	0.6133	0.5396	0.7346
No log	61.0	61	0.5345	0.6037	0.5345	0.7311
No log	62.0	62	0.5241	0.6138	0.5241	0.7239
No log	63.0	63	0.5286	0.6186	0.5286	0.7270
No log	64.0	64	0.5217	0.6117	0.5217	0.7223
No log	65.0	65	0.5266	0.5843	0.5266	0.7257
No log	66.0	66	0.5171	0.6237	0.5171	0.7191
No log	67.0	67	0.5209	0.6172	0.5209	0.7217
No log	68.0	68	0.5052	0.6284	0.5052	0.7108
No log	69.0	69	0.5030	0.6278	0.5030	0.7092
No log	70.0	70	0.5295	0.6308	0.5295	0.7276
No log	71.0	71	0.5184	0.6596	0.5184	0.7200

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 10, 2025
Updated: Mar 10, 2025