Version19ASAP_FineTuningBERT_AugV19_k1_task1_organization_k1_k1_fold3

genki10/Version19ASAP_FineTuningBERT_AugV19_k1_task1_organization_k1_k1_fold3

Version19ASAP_FineTuningBERT_AugV19_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 9, 2025
Updated: Mar 9, 2025
SHA: 1ad088f4

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Base models

Model card

From the Hugging Face model README

Version19ASAP_FineTuningBERT_AugV19_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: 0.7147
Qwk: 0.6440
Mse: 0.7142
Rmse: 0.8451

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	9.8601	0.0018	9.8584	3.1398
No log	2.0	2	8.3499	0.0	8.3487	2.8894
No log	3.0	3	7.3780	0.0	7.3767	2.7160
No log	4.0	4	6.5843	0.0008	6.5832	2.5658
No log	5.0	5	6.0078	0.0405	6.0067	2.4509
No log	6.0	6	5.2557	0.0193	5.2547	2.2923
No log	7.0	7	4.4780	0.0049	4.4770	2.1159
No log	8.0	8	4.0080	0.0038	4.0071	2.0018
No log	9.0	9	3.6144	0.0	3.6136	1.9009
No log	10.0	10	3.2145	0.0	3.2137	1.7927
No log	11.0	11	2.7577	0.0041	2.7569	1.6604
No log	12.0	12	2.3870	0.1705	2.3863	1.5448
No log	13.0	13	2.1212	0.0935	2.1205	1.4562
No log	14.0	14	2.0227	0.0503	2.0220	1.4220
No log	15.0	15	1.8099	0.0488	1.8092	1.3451
No log	16.0	16	1.5262	0.0365	1.5256	1.2352
No log	17.0	17	1.3476	0.0229	1.3470	1.1606
No log	18.0	18	1.2231	0.0202	1.2226	1.1057
No log	19.0	19	1.1487	0.0202	1.1482	1.0715
No log	20.0	20	1.1112	0.0202	1.1107	1.0539
No log	21.0	21	1.0050	0.0202	1.0046	1.0023
No log	22.0	22	0.9159	0.2104	0.9154	0.9568
No log	23.0	23	0.8505	0.3363	0.8500	0.9220
No log	24.0	24	0.8241	0.2605	0.8237	0.9076
No log	25.0	25	0.8037	0.2152	0.8033	0.8963
No log	26.0	26	0.7793	0.2058	0.7789	0.8826
No log	27.0	27	0.7345	0.2377	0.7343	0.8569
No log	28.0	28	0.7007	0.2986	0.7005	0.8370
No log	29.0	29	0.6713	0.3116	0.6711	0.8192
No log	30.0	30	0.6474	0.3492	0.6473	0.8045
No log	31.0	31	0.6174	0.3824	0.6173	0.7857
No log	32.0	32	0.5755	0.4006	0.5754	0.7585
No log	33.0	33	0.5520	0.4103	0.5519	0.7429
No log	34.0	34	0.5370	0.4734	0.5370	0.7328
No log	35.0	35	0.5363	0.4952	0.5363	0.7323
No log	36.0	36	0.5370	0.5217	0.5370	0.7328
No log	37.0	37	0.5494	0.6061	0.5494	0.7412
No log	38.0	38	0.5542	0.6387	0.5542	0.7444
No log	39.0	39	0.5701	0.6526	0.5700	0.7550
No log	40.0	40	0.6047	0.6216	0.6046	0.7776
No log	41.0	41	0.6304	0.6178	0.6304	0.7940
No log	42.0	42	0.6589	0.5983	0.6588	0.8117
No log	43.0	43	0.6763	0.5868	0.6762	0.8223
No log	44.0	44	0.6781	0.5962	0.6779	0.8234
No log	45.0	45	0.6710	0.6220	0.6709	0.8191
No log	46.0	46	0.6789	0.6289	0.6787	0.8238
No log	47.0	47	0.6733	0.6202	0.6731	0.8204
No log	48.0	48	0.6688	0.6044	0.6686	0.8177
No log	49.0	49	0.6762	0.6047	0.6760	0.8222
No log	50.0	50	0.6727	0.6109	0.6724	0.8200
No log	51.0	51	0.6750	0.6286	0.6746	0.8214
No log	52.0	52	0.6674	0.6328	0.6670	0.8167
No log	53.0	53	0.6744	0.6379	0.6740	0.8210
No log	54.0	54	0.6677	0.6364	0.6672	0.8169
No log	55.0	55	0.6703	0.6196	0.6699	0.8185
No log	56.0	56	0.6694	0.6260	0.6690	0.8179
No log	57.0	57	0.6926	0.6356	0.6921	0.8319
No log	58.0	58	0.6832	0.6358	0.6827	0.8262
No log	59.0	59	0.7147	0.6440	0.7142	0.8451

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 9, 2025
Updated: Mar 9, 2025