Trial3BERT_AugV8_k7_task1_organization_sp010_lw020_fold2

genki10/Trial3BERT_AugV8_k7_task1_organization_sp010_lw020_fold2

Trial3BERT_AugV8_k7_task1_organization_sp010_lw020_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: 91df1019

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Base models

Model card

From the Hugging Face model README

Trial3BERT_AugV8_k7_task1_organization_sp010_lw020_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: 0.9208
Qwk: 0.3356
Mse: 0.9208
Rmse: 0.9596

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	8.0580	0.0	8.0580	2.8387
No log	2.0	10	4.2399	0.0165	4.2403	2.0592
No log	3.0	15	2.3234	0.1452	2.3238	1.5244
No log	4.0	20	1.3315	0.0384	1.3319	1.1541
No log	5.0	25	0.9085	0.0478	0.9089	0.9533
No log	6.0	30	0.7505	0.3744	0.7508	0.8665
No log	7.0	35	1.1308	0.1411	1.1309	1.0635
No log	8.0	40	0.5811	0.4026	0.5812	0.7623
No log	9.0	45	0.7619	0.3951	0.7619	0.8729
No log	10.0	50	0.6963	0.4747	0.6963	0.8345
No log	11.0	55	0.6418	0.3915	0.6417	0.8011
No log	12.0	60	0.5780	0.5033	0.5778	0.7601
No log	13.0	65	0.9154	0.4555	0.9151	0.9566
No log	14.0	70	0.6666	0.5593	0.6661	0.8161
No log	15.0	75	1.1404	0.3864	1.1400	1.0677
No log	16.0	80	0.6084	0.5138	0.6080	0.7797
No log	17.0	85	0.7362	0.4762	0.7359	0.8578
No log	18.0	90	0.7739	0.4460	0.7734	0.8794
No log	19.0	95	0.7708	0.4341	0.7703	0.8777
No log	20.0	100	0.8707	0.3582	0.8704	0.9329
No log	21.0	105	0.7229	0.4047	0.7225	0.8500
No log	22.0	110	0.8533	0.4026	0.8527	0.9234
No log	23.0	115	0.9052	0.4093	0.9047	0.9512
No log	24.0	120	0.7959	0.4103	0.7958	0.8921
No log	25.0	125	0.9754	0.3178	0.9753	0.9876
No log	26.0	130	0.6958	0.4715	0.6956	0.8340
No log	27.0	135	0.7154	0.4584	0.7151	0.8457
No log	28.0	140	0.7334	0.4217	0.7332	0.8563
No log	29.0	145	0.9208	0.3356	0.9208	0.9596

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