Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold4

genki10/Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold4

Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold4 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 9, 2025
Updated: Mar 9, 2025
SHA: a5c04acf

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Model card

From the Hugging Face model README

Version12AGAINNNASAP_FineTuningBERT_AugV12_k15_task1_organization_k15_k15_fold4

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: 0.8856
Qwk: 0.5469
Mse: 0.8856
Rmse: 0.9411

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	3	9.8805	0.0053	9.8805	3.1433
No log	2.0	6	6.7073	0.0018	6.7073	2.5898
No log	3.0	9	3.9170	0.0152	3.9170	1.9791
No log	4.0	12	2.3755	0.1208	2.3755	1.5413
No log	5.0	15	1.5732	0.0316	1.5732	1.2543
No log	6.0	18	1.1080	0.0212	1.1080	1.0526
No log	7.0	21	0.8928	0.1158	0.8928	0.9449
No log	8.0	24	0.8585	0.0747	0.8585	0.9265
No log	9.0	27	1.0479	0.0598	1.0479	1.0237
No log	10.0	30	1.3108	0.1125	1.3108	1.1449
No log	11.0	33	1.5612	0.1605	1.5612	1.2495
No log	12.0	36	1.6910	0.1809	1.6910	1.3004
No log	13.0	39	1.5372	0.2820	1.5372	1.2398
No log	14.0	42	0.9802	0.5144	0.9802	0.9901
No log	15.0	45	0.5433	0.6486	0.5433	0.7371
No log	16.0	48	1.3960	0.4911	1.3960	1.1815
No log	17.0	51	1.1786	0.4404	1.1786	1.0856
No log	18.0	54	1.1272	0.5087	1.1272	1.0617
No log	19.0	57	0.8605	0.5452	0.8605	0.9276
No log	20.0	60	1.0322	0.5282	1.0322	1.0160
No log	21.0	63	0.6436	0.6306	0.6436	0.8022
No log	22.0	66	0.5691	0.6671	0.5691	0.7544
No log	23.0	69	1.2673	0.4819	1.2673	1.1257
No log	24.0	72	0.8829	0.5459	0.8829	0.9396
No log	25.0	75	1.2838	0.4823	1.2838	1.1331
No log	26.0	78	0.6239	0.6637	0.6239	0.7898
No log	27.0	81	0.8720	0.5906	0.8720	0.9338
No log	28.0	84	2.1324	0.4043	2.1324	1.4603
No log	29.0	87	0.6220	0.6521	0.6220	0.7887
No log	30.0	90	0.6557	0.6239	0.6557	0.8098
No log	31.0	93	1.1309	0.5080	1.1309	1.0634
No log	32.0	96	1.0004	0.5430	1.0004	1.0002
No log	33.0	99	1.1066	0.5059	1.1066	1.0520
No log	34.0	102	0.9189	0.5527	0.9189	0.9586
No log	35.0	105	0.7905	0.5983	0.7905	0.8891
No log	36.0	108	0.8580	0.5599	0.8580	0.9263
No log	37.0	111	1.2560	0.4874	1.2560	1.1207
No log	38.0	114	0.7328	0.5956	0.7328	0.8560
No log	39.0	117	0.8324	0.5548	0.8324	0.9124
No log	40.0	120	1.3511	0.4927	1.3511	1.1624
No log	41.0	123	0.7374	0.5948	0.7374	0.8587
No log	42.0	126	0.8856	0.5469	0.8856	0.9411

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 9, 2025
Updated: Mar 9, 2025