Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold4

genki10/Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_fold4

Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_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 9, 2025
Updated: Mar 9, 2025
SHA: a59e4f8b

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Base models

Model card

From the Hugging Face model README

Version12AGAINNNASAP_FineTuningBERT_AugV12_k10_task1_organization_k10_k10_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: 1.0653
Qwk: 0.5524
Mse: 1.0653
Rmse: 1.0321

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	8.3238	0.0037	8.3238	2.8851
No log	2.0	6	5.1094	0.0345	5.1094	2.2604
No log	3.0	9	3.5803	0.0079	3.5803	1.8922
No log	4.0	12	2.5915	0.0040	2.5915	1.6098
No log	5.0	15	1.6502	0.0420	1.6502	1.2846
No log	6.0	18	1.0464	0.0316	1.0464	1.0229
No log	7.0	21	0.8796	0.2592	0.8796	0.9379
No log	8.0	24	0.8610	0.0747	0.8610	0.9279
No log	9.0	27	0.9176	0.0747	0.9176	0.9579
No log	10.0	30	0.9650	0.0747	0.9650	0.9824
No log	11.0	33	1.3681	0.1203	1.3681	1.1697
No log	12.0	36	1.3991	0.2187	1.3991	1.1828
No log	13.0	39	0.7048	0.3425	0.7048	0.8395
No log	14.0	42	1.0007	0.4180	1.0007	1.0003
No log	15.0	45	0.9479	0.4547	0.9479	0.9736
No log	16.0	48	0.7154	0.6072	0.7154	0.8458
No log	17.0	51	0.9339	0.5716	0.9339	0.9664
No log	18.0	54	0.6403	0.6131	0.6403	0.8002
No log	19.0	57	0.6489	0.6342	0.6489	0.8055
No log	20.0	60	0.5981	0.6669	0.5981	0.7734
No log	21.0	63	1.0102	0.5708	1.0102	1.0051
No log	22.0	66	0.5457	0.6587	0.5457	0.7387
No log	23.0	69	1.5214	0.4271	1.5214	1.2334
No log	24.0	72	1.4992	0.4186	1.4992	1.2244
No log	25.0	75	0.4907	0.6558	0.4907	0.7005
No log	26.0	78	0.5952	0.6521	0.5952	0.7715
No log	27.0	81	1.1897	0.5149	1.1897	1.0908
No log	28.0	84	0.5725	0.6693	0.5725	0.7567
No log	29.0	87	0.8065	0.5996	0.8065	0.8980
No log	30.0	90	0.7272	0.6200	0.7272	0.8528
No log	31.0	93	0.9454	0.5420	0.9454	0.9723
No log	32.0	96	0.7881	0.5828	0.7881	0.8878
No log	33.0	99	0.7223	0.5919	0.7223	0.8499
No log	34.0	102	0.7618	0.5952	0.7618	0.8728
No log	35.0	105	0.7687	0.6238	0.7687	0.8767
No log	36.0	108	0.6650	0.6596	0.6650	0.8155
No log	37.0	111	1.1508	0.5236	1.1508	1.0728
No log	38.0	114	0.9870	0.5474	0.9871	0.9935
No log	39.0	117	0.8507	0.5801	0.8507	0.9223
No log	40.0	120	0.8900	0.5752	0.8900	0.9434
No log	41.0	123	0.7073	0.6472	0.7073	0.8410
No log	42.0	126	0.8685	0.5605	0.8685	0.9319
No log	43.0	129	0.8667	0.5729	0.8667	0.9310
No log	44.0	132	0.6921	0.6497	0.6921	0.8319
No log	45.0	135	0.9410	0.5682	0.9410	0.9700
No log	46.0	138	0.7853	0.6226	0.7853	0.8862
No log	47.0	141	1.1336	0.5335	1.1336	1.0647
No log	48.0	144	1.0653	0.5524	1.0653	1.0321

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