Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold2

genki10/Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold2

Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_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: Apr 8, 2025
Updated: Apr 8, 2025
SHA: a8141f5e

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Base models

Model card

From the Hugging Face model README

Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_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: 1.3150
Qwk: 0.2876
Mse: 1.3142
Rmse: 1.1464

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	4	7.9797	0.0	7.9803	2.8249
No log	2.0	8	4.2862	0.0078	4.2867	2.0704
No log	3.0	12	2.3428	0.1186	2.3433	1.5308
No log	4.0	16	1.5484	0.0539	1.5489	1.2445
No log	5.0	20	1.0551	0.0213	1.0556	1.0274
No log	6.0	24	0.9889	0.0262	0.9893	0.9946
No log	7.0	28	0.9279	0.0590	0.9283	0.9635
No log	8.0	32	0.9763	0.2102	0.9765	0.9882
No log	9.0	36	1.1016	0.3333	1.1016	1.0496
No log	10.0	40	0.8177	0.4287	0.8178	0.9043
No log	11.0	44	0.5710	0.5139	0.5710	0.7557
No log	12.0	48	0.5450	0.4907	0.5450	0.7382
No log	13.0	52	0.7037	0.4857	0.7035	0.8387
No log	14.0	56	0.5224	0.5720	0.5222	0.7226
No log	15.0	60	0.7416	0.4852	0.7412	0.8609
No log	16.0	64	0.9551	0.4365	0.9546	0.9771
No log	17.0	68	0.8345	0.4578	0.8340	0.9132
No log	18.0	72	0.9647	0.3810	0.9641	0.9819
No log	19.0	76	1.0354	0.3769	1.0346	1.0171
No log	20.0	80	1.0956	0.3535	1.0947	1.0463
No log	21.0	84	0.9108	0.3782	0.9101	0.9540
No log	22.0	88	0.7658	0.4418	0.7655	0.8749
No log	23.0	92	0.7746	0.4695	0.7744	0.8800
No log	24.0	96	0.7320	0.5033	0.7318	0.8555
No log	25.0	100	1.0991	0.3569	1.0985	1.0481
No log	26.0	104	0.6056	0.5212	0.6053	0.7780
No log	27.0	108	1.3730	0.2685	1.3723	1.1714
No log	28.0	112	0.6354	0.4634	0.6349	0.7968
No log	29.0	116	1.3150	0.2876	1.3142	1.1464

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: Apr 8, 2025
Updated: Apr 8, 2025