Version25NewTestASAP_FineTuningBERT_AugV25_k3_task1_organization_k3_k3_fold3

genki10/Version25NewTestASAP_FineTuningBERT_AugV25_k3_task1_organization_k3_k3_fold3

Version25NewTestASAP_FineTuningBERT_AugV25_k3_task1_organization_k3_k3_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 17, 2025
Updated: Mar 17, 2025
SHA: 39115927

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Base models

Model card

From the Hugging Face model README

Version25NewTestASAP_FineTuningBERT_AugV25_k3_task1_organization_k3_k3_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: 0.5980
Qwk: 0.6178
Mse: 0.5982
Rmse: 0.7735

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	3	9.9169	0.0	9.9147	3.1488
No log	2.0	6	7.3417	0.0	7.3402	2.7093
No log	3.0	9	5.1212	0.0137	5.1199	2.2627
No log	4.0	12	3.3597	0.0	3.3587	1.8327
No log	5.0	15	2.2578	0.1374	2.2569	1.5023
No log	6.0	18	1.5059	0.0365	1.5052	1.2269
No log	7.0	21	1.0809	0.0202	1.0803	1.0394
No log	8.0	24	0.8479	0.3913	0.8476	0.9206
No log	9.0	27	0.9554	0.1300	0.9551	0.9773
No log	10.0	30	0.7875	0.3640	0.7873	0.8873
No log	11.0	33	0.9603	0.1850	0.9601	0.9798
No log	12.0	36	0.6331	0.4871	0.6332	0.7957
No log	13.0	39	0.7969	0.4328	0.7970	0.8927
No log	14.0	42	0.6393	0.5421	0.6396	0.7998
No log	15.0	45	0.5755	0.4690	0.5759	0.7589
No log	16.0	48	0.5401	0.5106	0.5408	0.7354
No log	17.0	51	0.5336	0.5585	0.5342	0.7309
No log	18.0	54	0.5183	0.6065	0.5188	0.7203
No log	19.0	57	0.5205	0.6341	0.5211	0.7219
No log	20.0	60	0.5334	0.6451	0.5339	0.7307
No log	21.0	63	0.5367	0.6410	0.5372	0.7329
No log	22.0	66	0.5285	0.6513	0.5289	0.7273
No log	23.0	69	0.6365	0.5632	0.6371	0.7982
No log	24.0	72	0.7056	0.5827	0.7060	0.8403
No log	25.0	75	0.5919	0.6143	0.5926	0.7698
No log	26.0	78	0.5827	0.6042	0.5834	0.7638
No log	27.0	81	0.5752	0.6002	0.5757	0.7587
No log	28.0	84	0.6103	0.5969	0.6108	0.7816
No log	29.0	87	0.5990	0.6099	0.5995	0.7743
No log	30.0	90	0.5981	0.5766	0.5988	0.7738
No log	31.0	93	0.5536	0.6262	0.5542	0.7445
No log	32.0	96	0.7855	0.5710	0.7861	0.8866
No log	33.0	99	0.5780	0.6153	0.5787	0.7607
No log	34.0	102	0.6217	0.5971	0.6222	0.7888
No log	35.0	105	0.5633	0.6125	0.5638	0.7508
No log	36.0	108	0.6141	0.6097	0.6145	0.7839
No log	37.0	111	0.5591	0.6277	0.5596	0.7480
No log	38.0	114	0.5548	0.6398	0.5552	0.7451
No log	39.0	117	0.5750	0.6307	0.5755	0.7586
No log	40.0	120	0.6258	0.6224	0.6262	0.7914
No log	41.0	123	0.6552	0.6191	0.6555	0.8096
No log	42.0	126	0.5979	0.6245	0.5982	0.7734
No log	43.0	129	0.5614	0.5975	0.5618	0.7496
No log	44.0	132	0.6159	0.6125	0.6162	0.7850
No log	45.0	135	0.7463	0.5653	0.7467	0.8641
No log	46.0	138	0.6853	0.5655	0.6857	0.8281
No log	47.0	141	0.6329	0.5956	0.6333	0.7958
No log	48.0	144	0.5454	0.6303	0.5458	0.7388
No log	49.0	147	0.5862	0.6178	0.5865	0.7658
No log	50.0	150	0.5858	0.5972	0.5863	0.7657
No log	51.0	153	0.5531	0.6152	0.5535	0.7440
No log	52.0	156	0.5980	0.6178	0.5982	0.7735

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 17, 2025
Updated: Mar 17, 2025