Version27NewTestASAP_FineTuningBERT_AugV27_k10_task1_organization_k10_k10_fold1

genki10/Version27NewTestASAP_FineTuningBERT_AugV27_k10_task1_organization_k10_k10_fold1

Version27NewTestASAP_FineTuningBERT_AugV27_k10_task1_organization_k10_k10_fold1 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 18, 2025
Updated: Mar 18, 2025
SHA: 04f904cf

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Base models

Model card

From the Hugging Face model README

Version27NewTestASAP_FineTuningBERT_AugV27_k10_task1_organization_k10_k10_fold1

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: 0.7157
Qwk: 0.4965
Mse: 0.7155
Rmse: 0.8458

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	5	6.5741	0.0	6.5717	2.5635
No log	2.0	10	4.4157	0.0113	4.4135	2.1008
No log	3.0	15	2.4433	0.0227	2.4417	1.5626
No log	4.0	20	1.3584	0.0276	1.3570	1.1649
No log	5.0	25	0.8933	0.1534	0.8922	0.9446
No log	6.0	30	0.8124	0.2924	0.8113	0.9007
No log	7.0	35	1.0412	0.1621	1.0400	1.0198
No log	8.0	40	1.0868	0.2611	1.0855	1.0419
No log	9.0	45	0.7112	0.4430	0.7103	0.8428
No log	10.0	50	0.9385	0.4087	0.9372	0.9681
No log	11.0	55	0.7754	0.5051	0.7746	0.8801
No log	12.0	60	0.6832	0.4864	0.6825	0.8261
No log	13.0	65	0.7660	0.4077	0.7651	0.8747
No log	14.0	70	0.8106	0.4500	0.8097	0.8999
No log	15.0	75	0.7656	0.4702	0.7649	0.8746
No log	16.0	80	0.7630	0.4705	0.7625	0.8732
No log	17.0	85	0.8451	0.4463	0.8442	0.9188
No log	18.0	90	0.7726	0.4285	0.7723	0.8788
No log	19.0	95	0.7864	0.4249	0.7859	0.8865
No log	20.0	100	0.7779	0.4776	0.7778	0.8819
No log	21.0	105	0.7926	0.4110	0.7925	0.8902
No log	22.0	110	0.7707	0.4224	0.7698	0.8774
No log	23.0	115	0.8135	0.4624	0.8132	0.9018
No log	24.0	120	0.9695	0.3479	0.9696	0.9847
No log	25.0	125	0.8696	0.3410	0.8685	0.9320
No log	26.0	130	0.9155	0.3305	0.9154	0.9568
No log	27.0	135	0.8001	0.4050	0.7993	0.8940
No log	28.0	140	0.7905	0.4780	0.7905	0.8891
No log	29.0	145	0.7832	0.4857	0.7832	0.8850
No log	30.0	150	0.9110	0.3520	0.9110	0.9545
No log	31.0	155	0.8462	0.4049	0.8463	0.9199
No log	32.0	160	0.7682	0.4593	0.7683	0.8765
No log	33.0	165	0.7384	0.4710	0.7384	0.8593
No log	34.0	170	0.8767	0.4501	0.8770	0.9365
No log	35.0	175	0.8588	0.4268	0.8589	0.9268
No log	36.0	180	0.8068	0.4391	0.8067	0.8982
No log	37.0	185	0.8478	0.4938	0.8481	0.9209
No log	38.0	190	0.7337	0.4981	0.7333	0.8564
No log	39.0	195	0.8038	0.4610	0.8039	0.8966
No log	40.0	200	0.8378	0.4640	0.8379	0.9154
No log	41.0	205	0.7157	0.4965	0.7155	0.8458

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 18, 2025
Updated: Mar 18, 2025