Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2

genki10/Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2

Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_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: Mar 14, 2025
Updated: Mar 14, 2025
SHA: 5deb3dd9

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Base models

Model card

From the Hugging Face model README

Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_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: 1.4846
Qwk: 0.1585
Mse: 1.4846
Rmse: 1.2185

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	10.6193	0.0070	10.6193	3.2587
No log	2.0	6	7.8675	0.0	7.8675	2.8049
No log	3.0	9	6.7563	0.0022	6.7563	2.5993
No log	4.0	12	3.8573	0.0	3.8573	1.9640
No log	5.0	15	2.7316	0.0939	2.7316	1.6528
No log	6.0	18	1.9533	0.0246	1.9533	1.3976
No log	7.0	21	1.6883	0.0246	1.6883	1.2994
No log	8.0	24	1.3160	0.0177	1.3160	1.1472
No log	9.0	27	1.6538	0.0712	1.6538	1.2860
No log	10.0	30	1.3215	0.1096	1.3215	1.1496
No log	11.0	33	1.1646	0.2647	1.1646	1.0792
No log	12.0	36	1.3287	0.2404	1.3287	1.1527
No log	13.0	39	1.2720	0.2616	1.2720	1.1278
No log	14.0	42	1.3181	0.3069	1.3181	1.1481
No log	15.0	45	1.1583	0.2794	1.1583	1.0762
No log	16.0	48	1.2178	0.3017	1.2178	1.1036
No log	17.0	51	1.6336	0.2917	1.6336	1.2781
No log	18.0	54	1.4263	0.2174	1.4263	1.1943
No log	19.0	57	1.2115	0.3956	1.2115	1.1007
No log	20.0	60	1.5940	0.2857	1.5940	1.2625
No log	21.0	63	1.1896	0.3891	1.1896	1.0907
No log	22.0	66	1.3208	0.3415	1.3208	1.1492
No log	23.0	69	1.3451	0.2769	1.3451	1.1598
No log	24.0	72	1.2436	0.3512	1.2436	1.1152
No log	25.0	75	1.8607	0.1505	1.8607	1.3641
No log	26.0	78	1.1995	0.2610	1.1995	1.0952
No log	27.0	81	1.8652	0.1186	1.8652	1.3657
No log	28.0	84	1.4951	0.1852	1.4951	1.2227
No log	29.0	87	1.1074	0.2464	1.1074	1.0523
No log	30.0	90	1.7816	0.1317	1.7816	1.3347
No log	31.0	93	1.3050	0.3548	1.3050	1.1424
No log	32.0	96	1.3452	0.3590	1.3452	1.1598
No log	33.0	99	1.3336	0.2339	1.3336	1.1548
No log	34.0	102	1.2444	0.2690	1.2444	1.1155
No log	35.0	105	1.5578	0.2238	1.5578	1.2481
No log	36.0	108	1.3562	0.3136	1.3562	1.1646
No log	37.0	111	1.5054	0.2139	1.5054	1.2269
No log	38.0	114	1.1835	0.3244	1.1835	1.0879
No log	39.0	117	1.4846	0.1585	1.4846	1.2185

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 14, 2025
Updated: Mar 14, 2025