BERT_AugV8_k1_task1_organization_sp060_lw030_fold1

genki10/BERT_AugV8_k1_task1_organization_sp060_lw030_fold1

BERT_AugV8_k1_task1_organization_sp060_lw030_fold1 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: Apr 2, 2025
Updated: Apr 2, 2025
SHA: 644eb400

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Base models

Model card

From the Hugging Face model README

BERT_AugV8_k1_task1_organization_sp060_lw030_fold1

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: 1.1197
Qwk: 0.3272
Mse: 1.1182
Rmse: 1.0574

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: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	2	11.3405	0.0107	11.3377	3.3671
No log	2.0	4	9.7585	0.0035	9.7560	3.1235
No log	3.0	6	6.9289	0.0	6.9265	2.6318
No log	4.0	8	5.5212	0.0529	5.5190	2.3493
No log	5.0	10	4.1478	0.0040	4.1458	2.0361
No log	6.0	12	3.2046	0.0	3.2027	1.7896
No log	7.0	14	2.5921	0.0	2.5903	1.6094
No log	8.0	16	1.9582	0.0607	1.9565	1.3988
No log	9.0	18	1.6902	0.0106	1.6886	1.2995
No log	10.0	20	1.3953	0.0	1.3937	1.1806
No log	11.0	22	1.2363	0.0	1.2348	1.1112
No log	12.0	24	1.1656	0.0	1.1641	1.0790
No log	13.0	26	1.1310	0.0	1.1295	1.0628
No log	14.0	28	1.0819	0.0106	1.0804	1.0394
No log	15.0	30	1.1883	0.0211	1.1869	1.0895
No log	16.0	32	1.0757	0.0211	1.0744	1.0365
No log	17.0	34	0.9308	0.0699	0.9293	0.9640
No log	18.0	36	1.1619	0.1344	1.1604	1.0772
No log	19.0	38	1.0674	0.1661	1.0659	1.0324
No log	20.0	40	0.9571	0.2060	0.9557	0.9776
No log	21.0	42	0.7919	0.3560	0.7906	0.8892
No log	22.0	44	0.9533	0.1414	0.9520	0.9757
No log	23.0	46	1.1199	0.1816	1.1184	1.0576
No log	24.0	48	0.7089	0.4550	0.7074	0.8411
No log	25.0	50	0.8855	0.3972	0.8840	0.9402
No log	26.0	52	1.5328	0.2221	1.5311	1.2374
No log	27.0	54	0.8576	0.4268	0.8559	0.9251
No log	28.0	56	0.6455	0.4817	0.6439	0.8024
No log	29.0	58	1.3102	0.3000	1.3081	1.1437
No log	30.0	60	1.3305	0.3003	1.3283	1.1525
No log	31.0	62	0.7045	0.4632	0.7027	0.8383
No log	32.0	64	0.7243	0.4911	0.7225	0.8500
No log	33.0	66	1.0099	0.4118	1.0082	1.0041
No log	34.0	68	0.9820	0.4209	0.9801	0.9900
No log	35.0	70	0.7470	0.4906	0.7458	0.8636
No log	36.0	72	0.8435	0.4506	0.8425	0.9179
No log	37.0	74	0.9584	0.4234	0.9566	0.9780
No log	38.0	76	1.5965	0.2754	1.5941	1.2626
No log	39.0	78	1.2593	0.2987	1.2568	1.1211
No log	40.0	80	1.2218	0.3049	1.2208	1.1049
No log	41.0	82	1.2099	0.3046	1.2084	1.0993
No log	42.0	84	1.8612	0.1869	1.8588	1.3634
No log	43.0	86	2.2480	0.1175	2.2458	1.4986
No log	44.0	88	1.3540	0.2773	1.3523	1.1629
No log	45.0	90	1.0327	0.3826	1.0318	1.0158
No log	46.0	92	0.9549	0.3857	0.9539	0.9767
No log	47.0	94	1.1197	0.3272	1.1182	1.0574

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: Apr 2, 2025
Updated: Apr 2, 2025