Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1

Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1 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 11, 2025
Updated: Mar 11, 2025
SHA: 1a9aacb4

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Base models

Model card

From the Hugging Face model README

Version12LowDevASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold1

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: 0.8982
Qwk: 0.6407
Mse: 0.8982
Rmse: 0.9478

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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	4	7.4653	0.0	7.4653	2.7323
No log	2.0	8	5.0714	-0.0463	5.0714	2.2520
No log	3.0	12	2.9779	0.0	2.9779	1.7257
No log	4.0	16	1.6608	0.0357	1.6608	1.2887
No log	5.0	20	0.9925	0.0	0.9925	0.9962
No log	6.0	24	0.8709	0.1379	0.8709	0.9332
No log	7.0	28	0.9363	0.1037	0.9363	0.9676
No log	8.0	32	1.1890	0.3697	1.1890	1.0904
No log	9.0	36	0.7943	0.4978	0.7943	0.8912
No log	10.0	40	0.7470	0.6239	0.7470	0.8643
No log	11.0	44	0.7383	0.6829	0.7383	0.8593
No log	12.0	48	0.6144	0.7083	0.6144	0.7838
No log	13.0	52	1.1787	0.6136	1.1787	1.0857
No log	14.0	56	0.8781	0.6455	0.8781	0.9371
No log	15.0	60	0.8183	0.6332	0.8183	0.9046
No log	16.0	64	0.8924	0.6258	0.8924	0.9447
No log	17.0	68	0.9584	0.6383	0.9584	0.9790
No log	18.0	72	0.7906	0.6392	0.7906	0.8892
No log	19.0	76	1.0757	0.5777	1.0757	1.0372
No log	20.0	80	0.6438	0.6660	0.6438	0.8024
No log	21.0	84	1.7092	0.5047	1.7092	1.3074
No log	22.0	88	0.6719	0.6588	0.6719	0.8197
No log	23.0	92	1.6281	0.4996	1.6281	1.2760
No log	24.0	96	0.6252	0.7146	0.6252	0.7907
No log	25.0	100	1.4576	0.5247	1.4576	1.2073
No log	26.0	104	0.7443	0.6512	0.7443	0.8627
No log	27.0	108	1.3460	0.5589	1.3460	1.1602
No log	28.0	112	0.6011	0.6989	0.6011	0.7753
No log	29.0	116	1.1598	0.5302	1.1598	1.0770
No log	30.0	120	0.7691	0.6552	0.7691	0.8770
No log	31.0	124	1.1090	0.6022	1.1090	1.0531
No log	32.0	128	0.8568	0.6473	0.8568	0.9256
No log	33.0	132	0.7963	0.6425	0.7963	0.8923
No log	34.0	136	1.0568	0.6174	1.0568	1.0280
No log	35.0	140	0.6312	0.6622	0.6312	0.7945
No log	36.0	144	1.1233	0.5515	1.1233	1.0599
No log	37.0	148	0.6790	0.6622	0.6790	0.8240
No log	38.0	152	0.9839	0.6235	0.9839	0.9919
No log	39.0	156	0.7784	0.6531	0.7784	0.8823
No log	40.0	160	0.9115	0.6334	0.9115	0.9547
No log	41.0	164	0.8630	0.6407	0.8630	0.9290
No log	42.0	168	0.8872	0.6407	0.8872	0.9419
No log	43.0	172	0.7618	0.6432	0.7618	0.8728
No log	44.0	176	0.8982	0.6407	0.8982	0.9478

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 11, 2025
Updated: Mar 11, 2025