Version23NewTestASAP_FineTuningBERT_AugV23_k1_task1_organization_k1_k1_fold0

genki10/Version23NewTestASAP_FineTuningBERT_AugV23_k1_task1_organization_k1_k1_fold0

Version23NewTestASAP_FineTuningBERT_AugV23_k1_task1_organization_k1_k1_fold0 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 16, 2025
Updated: Mar 16, 2025
SHA: 20fb0965

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Base models

Model card

From the Hugging Face model README

Version23NewTestASAP_FineTuningBERT_AugV23_k1_task1_organization_k1_k1_fold0

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: 0.7663
Qwk: 0.4653
Mse: 0.7663
Rmse: 0.8754

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	1	8.2790	0.0	8.2790	2.8773
No log	2.0	2	7.1435	0.0	7.1435	2.6727
No log	3.0	3	6.3325	0.0058	6.3325	2.5164
No log	4.0	4	5.5726	0.0190	5.5726	2.3606
No log	5.0	5	4.8960	0.0115	4.8960	2.2127
No log	6.0	6	4.3157	0.0	4.3157	2.0774
No log	7.0	7	3.8200	0.0	3.8200	1.9545
No log	8.0	8	3.3770	0.0	3.3770	1.8377
No log	9.0	9	2.9687	0.0	2.9687	1.7230
No log	10.0	10	2.5729	0.0223	2.5729	1.6040
No log	11.0	11	2.2042	0.0548	2.2042	1.4847
No log	12.0	12	1.8781	0.0316	1.8781	1.3705
No log	13.0	13	1.5961	0.0316	1.5961	1.2634
No log	14.0	14	1.3725	0.0316	1.3725	1.1715
No log	15.0	15	1.2183	0.0106	1.2183	1.1038
No log	16.0	16	1.1242	0.0106	1.1242	1.0603
No log	17.0	17	1.0038	0.0106	1.0038	1.0019
No log	18.0	18	0.8996	0.0755	0.8996	0.9485
No log	19.0	19	0.8525	0.2372	0.8525	0.9233
No log	20.0	20	0.9159	0.2007	0.9159	0.9570
No log	21.0	21	1.0870	0.1338	1.0870	1.0426
No log	22.0	22	0.8543	0.2905	0.8543	0.9243
No log	23.0	23	0.6418	0.4290	0.6418	0.8011
No log	24.0	24	0.6814	0.4484	0.6814	0.8255
No log	25.0	25	1.0850	0.3608	1.0850	1.0416
No log	26.0	26	1.0430	0.3674	1.0430	1.0213
No log	27.0	27	0.6625	0.4965	0.6625	0.8139
No log	28.0	28	0.6486	0.4847	0.6486	0.8054
No log	29.0	29	0.8956	0.4149	0.8956	0.9463
No log	30.0	30	0.9049	0.3931	0.9049	0.9513
No log	31.0	31	0.6678	0.4268	0.6678	0.8172
No log	32.0	32	0.6779	0.3815	0.6779	0.8233
No log	33.0	33	0.6649	0.3783	0.6649	0.8154
No log	34.0	34	0.7043	0.3900	0.7043	0.8392
No log	35.0	35	0.7324	0.4105	0.7324	0.8558
No log	36.0	36	0.8052	0.3842	0.8052	0.8973
No log	37.0	37	0.8395	0.3876	0.8395	0.9163
No log	38.0	38	0.8472	0.3976	0.8472	0.9204
No log	39.0	39	0.8480	0.4084	0.8480	0.9209
No log	40.0	40	1.0151	0.3682	1.0151	1.0075
No log	41.0	41	1.0261	0.3791	1.0261	1.0130
No log	42.0	42	0.8241	0.4264	0.8241	0.9078
No log	43.0	43	0.7681	0.4504	0.7681	0.8764
No log	44.0	44	0.8277	0.4414	0.8277	0.9098
No log	45.0	45	0.8179	0.4265	0.8179	0.9044
No log	46.0	46	0.7611	0.4537	0.7611	0.8724
No log	47.0	47	0.7928	0.4182	0.7928	0.8904
No log	48.0	48	0.8686	0.3867	0.8686	0.9320
No log	49.0	49	0.8325	0.3961	0.8325	0.9124
No log	50.0	50	0.8179	0.4505	0.8180	0.9044
No log	51.0	51	0.8202	0.4550	0.8202	0.9057
No log	52.0	52	0.7793	0.4367	0.7793	0.8828
No log	53.0	53	0.8529	0.3901	0.8529	0.9235
No log	54.0	54	0.8711	0.3882	0.8711	0.9333
No log	55.0	55	0.7672	0.3952	0.7672	0.8759
No log	56.0	56	0.6936	0.4616	0.6936	0.8328
No log	57.0	57	0.7663	0.4653	0.7663	0.8754

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 16, 2025
Updated: Mar 16, 2025