Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold3

genki10/Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold3

Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_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: 7907d61f

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Base models

Model card

From the Hugging Face model README

Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_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: 0.8245
Qwk: 0.5866
Mse: 0.8234
Rmse: 0.9074

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	3	11.2062	-0.0009	11.2040	3.3472
No log	2.0	6	9.3278	0.0	9.3259	3.0538
No log	3.0	9	8.2082	0.0	8.2064	2.8647
No log	4.0	12	7.8811	0.0	7.8794	2.8070
No log	5.0	15	7.4632	0.0	7.4615	2.7316
No log	6.0	18	6.5299	-0.0018	6.5284	2.5551
No log	7.0	21	4.9934	-0.0027	4.9921	2.2343
No log	8.0	24	4.0760	0.0	4.0750	2.0187
No log	9.0	27	3.0130	0.0	3.0122	1.7356
No log	10.0	30	1.8469	0.0381	1.8461	1.3587
No log	11.0	33	1.5097	0.0129	1.5093	1.2285
No log	12.0	36	1.0455	0.0	1.0451	1.0223
No log	13.0	39	0.8903	0.1321	0.8898	0.9433
No log	14.0	42	0.8634	0.1612	0.8632	0.9291
No log	15.0	45	0.8762	0.0457	0.8761	0.9360
No log	16.0	48	1.1478	0.0157	1.1476	1.0713
No log	17.0	51	1.5224	0.1483	1.5224	1.2339
No log	18.0	54	1.7749	0.0900	1.7749	1.3323
No log	19.0	57	1.8386	0.1278	1.8384	1.3559
No log	20.0	60	1.5712	0.2163	1.5709	1.2534
No log	21.0	63	0.7790	0.4618	0.7784	0.8823
No log	22.0	66	0.6732	0.5668	0.6723	0.8199
No log	23.0	69	0.7389	0.5873	0.7381	0.8591
No log	24.0	72	0.5656	0.6464	0.5649	0.7516
No log	25.0	75	1.0582	0.5277	1.0570	1.0281
No log	26.0	78	0.7649	0.6298	0.7640	0.8741
No log	27.0	81	0.6008	0.6858	0.6002	0.7747
No log	28.0	84	1.7125	0.4293	1.7111	1.3081
No log	29.0	87	1.4898	0.4625	1.4884	1.2200
No log	30.0	90	0.5669	0.6356	0.5665	0.7527
No log	31.0	93	0.5791	0.6701	0.5785	0.7606
No log	32.0	96	1.0061	0.5647	1.0049	1.0024
No log	33.0	99	0.6162	0.6221	0.6158	0.7847
No log	34.0	102	0.5962	0.6830	0.5956	0.7717
No log	35.0	105	1.1527	0.4947	1.1517	1.0732
No log	36.0	108	0.6635	0.6133	0.6627	0.8141
No log	37.0	111	0.5057	0.6368	0.5052	0.7108
No log	38.0	114	0.6050	0.6320	0.6043	0.7774
No log	39.0	117	1.1797	0.4801	1.1786	1.0856
No log	40.0	120	0.7711	0.5837	0.7701	0.8776
No log	41.0	123	0.5592	0.6232	0.5586	0.7474
No log	42.0	126	0.5866	0.6410	0.5859	0.7654
No log	43.0	129	0.8917	0.5832	0.8905	0.9437
No log	44.0	132	0.9049	0.5834	0.9038	0.9507
No log	45.0	135	0.6128	0.6521	0.6121	0.7824
No log	46.0	138	0.5757	0.6539	0.5750	0.7583
No log	47.0	141	0.8245	0.5866	0.8234	0.9074

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