BERT_AugV8_k10_task1_organization_sp040_lw010_fold0

genki10/BERT_AugV8_k10_task1_organization_sp040_lw010_fold0

BERT_AugV8_k10_task1_organization_sp040_lw010_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 27, 2025
Updated: Mar 27, 2025
SHA: 97da046f

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Base models

Model card

From the Hugging Face model README

BERT_AugV8_k10_task1_organization_sp040_lw010_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: 0.9539
Qwk: 0.2163
Mse: 0.9539
Rmse: 0.9767

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	7	5.3631	0.0275	5.3631	2.3158
No log	2.0	14	1.7466	0.0316	1.7466	1.3216
No log	3.0	21	1.1952	0.0316	1.1952	1.0933
No log	4.0	28	1.0512	0.1496	1.0512	1.0253
No log	5.0	35	0.7200	0.2115	0.7200	0.8486
No log	6.0	42	0.8229	0.1920	0.8229	0.9071
No log	7.0	49	0.7325	0.2637	0.7325	0.8559
No log	8.0	56	0.8137	0.2479	0.8137	0.9020
No log	9.0	63	1.0356	0.2790	1.0355	1.0176
No log	10.0	70	1.8640	0.1685	1.8640	1.3653
No log	11.0	77	1.0154	0.1360	1.0154	1.0077
No log	12.0	84	0.8683	0.2228	0.8683	0.9318
No log	13.0	91	0.7793	0.2958	0.7793	0.8828
No log	14.0	98	0.7161	0.3337	0.7161	0.8462
No log	15.0	105	0.8173	0.2704	0.8173	0.9041
No log	16.0	112	1.1428	0.1724	1.1428	1.0690
No log	17.0	119	0.7894	0.2346	0.7894	0.8885
No log	18.0	126	0.7802	0.2913	0.7802	0.8833
No log	19.0	133	1.1075	0.2016	1.1075	1.0524
No log	20.0	140	0.9715	0.2305	0.9715	0.9857
No log	21.0	147	1.1095	0.1729	1.1095	1.0533
No log	22.0	154	0.9298	0.2578	0.9298	0.9643
No log	23.0	161	0.9365	0.2368	0.9365	0.9677
No log	24.0	168	0.9704	0.2453	0.9704	0.9851
No log	25.0	175	1.1389	0.1582	1.1389	1.0672
No log	26.0	182	1.1642	0.1505	1.1642	1.0790
No log	27.0	189	1.1081	0.1762	1.1081	1.0526
No log	28.0	196	1.0805	0.1888	1.0805	1.0395
No log	29.0	203	0.9539	0.2163	0.9539	0.9767

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 27, 2025
Updated: Mar 27, 2025