Version27NewTestASAP_FineTuningBERT_AugV27_k3_task1_organization_k3_k3_fold2

genki10/Version27NewTestASAP_FineTuningBERT_AugV27_k3_task1_organization_k3_k3_fold2

Version27NewTestASAP_FineTuningBERT_AugV27_k3_task1_organization_k3_k3_fold2 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 18, 2025
SHA: 1d0f3a29

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Base models

Model card

From the Hugging Face model README

Version27NewTestASAP_FineTuningBERT_AugV27_k3_task1_organization_k3_k3_fold2

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: 0.6353
Qwk: 0.5053
Mse: 0.6346
Rmse: 0.7966

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	11.3822	0.0068	11.3825	3.3738
No log	2.0	4	10.8256	0.0	10.8258	3.2903
No log	3.0	6	10.2633	0.0	10.2633	3.2036
No log	4.0	8	9.3587	0.0	9.3586	3.0592
No log	5.0	10	7.9226	0.0	7.9227	2.8147
No log	6.0	12	6.3399	0.0	6.3402	2.5180
No log	7.0	14	4.8932	0.0025	4.8935	2.2121
No log	8.0	16	3.8597	0.0	3.8601	1.9647
No log	9.0	18	3.0588	0.0	3.0592	1.7491
No log	10.0	20	2.4115	0.0748	2.4120	1.5531
No log	11.0	22	1.9072	0.0174	1.9076	1.3812
No log	12.0	24	1.5105	0.0	1.5109	1.2292
No log	13.0	26	1.2013	0.0	1.2018	1.0962
No log	14.0	28	0.9702	0.0	0.9706	0.9852
No log	15.0	30	0.8004	0.4234	0.8007	0.8948
No log	16.0	32	0.6606	0.4847	0.6607	0.8128
No log	17.0	34	0.6202	0.5293	0.6202	0.7875
No log	18.0	36	0.6289	0.5382	0.6289	0.7931
No log	19.0	38	0.6195	0.5477	0.6196	0.7871
No log	20.0	40	0.5418	0.5476	0.5418	0.7360
No log	21.0	42	0.5305	0.5236	0.5305	0.7283
No log	22.0	44	0.5746	0.4966	0.5745	0.7580
No log	23.0	46	0.6551	0.4479	0.6549	0.8093
No log	24.0	48	0.5518	0.5461	0.5514	0.7426
No log	25.0	50	0.5876	0.5127	0.5873	0.7663
No log	26.0	52	0.6147	0.4804	0.6143	0.7838
No log	27.0	54	0.6936	0.4407	0.6932	0.8326
No log	28.0	56	0.7128	0.4219	0.7125	0.8441
No log	29.0	58	0.6712	0.4717	0.6708	0.8190
No log	30.0	60	0.8052	0.5113	0.8047	0.8970
No log	31.0	62	0.6128	0.5323	0.6125	0.7826
No log	32.0	64	0.6796	0.4768	0.6794	0.8242
No log	33.0	66	0.6906	0.4906	0.6900	0.8307
No log	34.0	68	0.6720	0.4824	0.6715	0.8194
No log	35.0	70	0.6753	0.5128	0.6746	0.8214
No log	36.0	72	0.6311	0.5208	0.6306	0.7941
No log	37.0	74	0.6142	0.5198	0.6138	0.7834
No log	38.0	76	0.6250	0.5170	0.6245	0.7903
No log	39.0	78	0.6453	0.5041	0.6449	0.8031
No log	40.0	80	0.7034	0.5337	0.7029	0.8384
No log	41.0	82	0.6912	0.5302	0.6906	0.8310
No log	42.0	84	0.6764	0.5244	0.6758	0.8221
No log	43.0	86	0.6437	0.5203	0.6431	0.8019
No log	44.0	88	0.6462	0.5318	0.6456	0.8035
No log	45.0	90	0.6957	0.5395	0.6949	0.8336
No log	46.0	92	0.6732	0.5046	0.6725	0.8201
No log	47.0	94	0.7629	0.5013	0.7620	0.8729
No log	48.0	96	0.7103	0.4973	0.7094	0.8423
No log	49.0	98	0.6353	0.5053	0.6346	0.7966

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 18, 2025