Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_fold2

genki10/Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_fold2

Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_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: 6fde1aa8

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Base models

Model card

From the Hugging Face model README

Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_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: 0.8081
Qwk: 0.2889
Mse: 0.8077
Rmse: 0.8987

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	8.6730	0.0	8.6732	2.9450
No log	2.0	8	5.4425	0.0246	5.4428	2.3330
No log	3.0	12	3.2318	0.0039	3.2322	1.7978
No log	4.0	16	2.1983	-0.0005	2.1987	1.4828
No log	5.0	20	1.3034	0.0213	1.3038	1.1419
No log	6.0	24	1.9939	0.0331	1.9942	1.4122
No log	7.0	28	1.0404	0.0	1.0407	1.0202
No log	8.0	32	1.7184	0.0035	1.7188	1.3110
No log	9.0	36	1.3606	0.0425	1.3611	1.1667
No log	10.0	40	0.8053	0.3397	0.8055	0.8975
No log	11.0	44	0.6092	0.4433	0.6093	0.7806
No log	12.0	48	0.6152	0.3470	0.6152	0.7844
No log	13.0	52	0.5767	0.5034	0.5767	0.7594
No log	14.0	56	0.7633	0.2437	0.7634	0.8738
No log	15.0	60	0.5098	0.5528	0.5098	0.7140
No log	16.0	64	0.8389	0.3458	0.8390	0.9159
No log	17.0	68	0.6644	0.4278	0.6644	0.8151
No log	18.0	72	0.8484	0.2461	0.8485	0.9211
No log	19.0	76	0.8359	0.3459	0.8356	0.9141
No log	20.0	80	0.7191	0.4325	0.7188	0.8478
No log	21.0	84	0.6238	0.4570	0.6236	0.7897
No log	22.0	88	0.7121	0.4091	0.7117	0.8437
No log	23.0	92	0.7693	0.3802	0.7689	0.8769
No log	24.0	96	0.8655	0.3079	0.8651	0.9301
No log	25.0	100	1.0450	0.1270	1.0447	1.0221
No log	26.0	104	0.9691	0.1553	0.9688	0.9843
No log	27.0	108	0.8741	0.2567	0.8737	0.9347
No log	28.0	112	1.1868	0.2029	1.1864	1.0892
No log	29.0	116	0.7937	0.3263	0.7933	0.8907
No log	30.0	120	0.8081	0.2889	0.8077	0.8987

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