Version_Test_ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_fold4

genki10/Version_Test_ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_fold4

Version_Test_ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_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: Feb 20, 2025
Updated: Feb 20, 2025
SHA: 5f648617

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Model card

From the Hugging Face model README

Version_Test_ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_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: 0.9322
Qwk: 0.5843
Mse: 0.9322
Rmse: 0.9655

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	2	13.0364	0.0001	13.0364	3.6106
No log	2.0	4	11.2375	0.0053	11.2375	3.3522
No log	3.0	6	8.8119	0.0037	8.8119	2.9685
No log	4.0	8	7.0390	0.0014	7.0390	2.6531
No log	5.0	10	6.0352	-0.0170	6.0352	2.4567
No log	6.0	12	5.7126	-0.0342	5.7126	2.3901
No log	7.0	14	3.9884	0.0153	3.9884	1.9971
No log	8.0	16	3.1785	0.0040	3.1785	1.7828
No log	9.0	18	2.8817	-0.0027	2.8817	1.6976
No log	10.0	20	2.2319	0.0557	2.2319	1.4939
No log	11.0	22	1.5125	0.0705	1.5125	1.2298
No log	12.0	24	1.2394	0.0420	1.2394	1.1133
No log	13.0	26	0.9807	0.0212	0.9807	0.9903
No log	14.0	28	0.8371	0.2753	0.8371	0.9150
No log	15.0	30	0.9769	0.0138	0.9769	0.9884
No log	16.0	32	0.8629	0.0974	0.8629	0.9289
No log	17.0	34	0.7226	0.3792	0.7226	0.8500
No log	18.0	36	0.6921	0.3918	0.6921	0.8319
No log	19.0	38	0.6902	0.2361	0.6902	0.8308
No log	20.0	40	0.6198	0.2906	0.6198	0.7872
No log	21.0	42	0.6076	0.3165	0.6076	0.7795
No log	22.0	44	0.5386	0.4339	0.5386	0.7339
No log	23.0	46	0.4972	0.5742	0.4972	0.7052
No log	24.0	48	0.5418	0.5238	0.5418	0.7361
No log	25.0	50	0.5198	0.5372	0.5198	0.7210
No log	26.0	52	0.5976	0.5800	0.5976	0.7730
No log	27.0	54	0.8352	0.4739	0.8352	0.9139
No log	28.0	56	0.6148	0.5943	0.6148	0.7841
No log	29.0	58	0.6122	0.5738	0.6122	0.7824
No log	30.0	60	0.6982	0.5488	0.6982	0.8356
No log	31.0	62	0.5209	0.6660	0.5209	0.7217
No log	32.0	64	0.6797	0.5910	0.6797	0.8244
No log	33.0	66	0.5707	0.6424	0.5707	0.7555
No log	34.0	68	0.5054	0.6189	0.5054	0.7109
No log	35.0	70	0.5016	0.6188	0.5016	0.7083
No log	36.0	72	0.5253	0.6142	0.5253	0.7248
No log	37.0	74	0.5360	0.6095	0.5360	0.7321
No log	38.0	76	0.5054	0.6223	0.5054	0.7109
No log	39.0	78	0.7947	0.5692	0.7947	0.8914
No log	40.0	80	0.6716	0.6079	0.6716	0.8195
No log	41.0	82	0.5164	0.6345	0.5164	0.7186
No log	42.0	84	0.5274	0.6430	0.5274	0.7262
No log	43.0	86	0.6929	0.6180	0.6929	0.8324
No log	44.0	88	0.5670	0.6496	0.5670	0.7530
No log	45.0	90	0.5814	0.6470	0.5814	0.7625
No log	46.0	92	0.8406	0.5959	0.8406	0.9168
No log	47.0	94	0.7821	0.6240	0.7821	0.8844
No log	48.0	96	0.6012	0.6454	0.6012	0.7754
No log	49.0	98	0.5936	0.6562	0.5936	0.7704
No log	50.0	100	0.6267	0.6507	0.6267	0.7916
No log	51.0	102	0.9322	0.5843	0.9322	0.9655

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Feb 20, 2025
Updated: Feb 20, 2025