Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_fold0

genki10/Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_fold0

Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_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: Apr 8, 2025
Updated: Apr 8, 2025
SHA: 356398f0

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Base models

Model card

From the Hugging Face model README

Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_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: 1.4000
Qwk: 0.1340
Mse: 1.4000
Rmse: 1.1832

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	7.2037	0.0018	7.2037	2.6840
No log	2.0	10	4.8429	0.0218	4.8429	2.2007
No log	3.0	15	2.6737	0.0402	2.6737	1.6352
No log	4.0	20	1.4916	0.0418	1.4916	1.2213
No log	5.0	25	1.0782	0.0482	1.0782	1.0384
No log	6.0	30	0.9213	0.1090	0.9213	0.9598
No log	7.0	35	1.1466	0.0727	1.1466	1.0708
No log	8.0	40	1.4709	0.1366	1.4709	1.2128
No log	9.0	45	0.8077	0.3001	0.8077	0.8987
No log	10.0	50	1.6933	0.0806	1.6933	1.3013
No log	11.0	55	0.9152	0.1948	0.9152	0.9567
No log	12.0	60	1.2452	0.1301	1.2452	1.1159
No log	13.0	65	1.7753	0.0774	1.7753	1.3324
No log	14.0	70	1.3964	0.1043	1.3964	1.1817
No log	15.0	75	1.0815	0.2103	1.0815	1.0399
No log	16.0	80	1.3022	0.1673	1.3022	1.1412
No log	17.0	85	1.3138	0.2364	1.3138	1.1462
No log	18.0	90	0.9321	0.3085	0.9321	0.9655
No log	19.0	95	1.3052	0.1597	1.3052	1.1424
No log	20.0	100	1.8287	0.1152	1.8287	1.3523
No log	21.0	105	1.9711	0.1011	1.9711	1.4039
No log	22.0	110	1.5656	0.1053	1.5656	1.2512
No log	23.0	115	1.0079	0.2076	1.0079	1.0039
No log	24.0	120	1.8750	0.0853	1.8750	1.3693
No log	25.0	125	1.0795	0.1039	1.0795	1.0390
No log	26.0	130	1.4240	0.0977	1.4240	1.1933
No log	27.0	135	1.4763	0.0949	1.4763	1.2150
No log	28.0	140	0.9920	0.1574	0.9920	0.9960
No log	29.0	145	1.7598	0.0884	1.7598	1.3266
No log	30.0	150	1.3112	0.0997	1.3112	1.1451
No log	31.0	155	1.1061	0.1388	1.1061	1.0517
No log	32.0	160	1.5564	0.1132	1.5564	1.2476
No log	33.0	165	1.4000	0.1340	1.4000	1.1832

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