Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold2

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold2

Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_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 10, 2025
Updated: Mar 11, 2025
SHA: b91fd5b4

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Base models

Model card

From the Hugging Face model README

Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_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: 0.8154
Qwk: 0.5957
Mse: 0.8154
Rmse: 0.9030

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	9.8573	0.0	9.8573	3.1396
No log	2.0	4	7.4873	0.0	7.4873	2.7363
No log	3.0	6	5.7241	0.0112	5.7241	2.3925
No log	4.0	8	4.6945	0.0	4.6945	2.1667
No log	5.0	10	3.6768	0.0	3.6768	1.9175
No log	6.0	12	2.8889	0.0030	2.8889	1.6997
No log	7.0	14	2.4523	0.1288	2.4523	1.5660
No log	8.0	16	2.0199	0.0	2.0199	1.4212
No log	9.0	18	1.6413	0.0	1.6413	1.2811
No log	10.0	20	1.3594	0.0	1.3594	1.1659
No log	11.0	22	1.2169	0.0435	1.2169	1.1031
No log	12.0	24	1.0676	0.3992	1.0676	1.0333
No log	13.0	26	0.9555	0.3568	0.9555	0.9775
No log	14.0	28	0.9983	0.2582	0.9983	0.9992
No log	15.0	30	0.8087	0.3451	0.8087	0.8993
No log	16.0	32	0.7611	0.3689	0.7611	0.8724
No log	17.0	34	0.8631	0.3028	0.8631	0.9290
No log	18.0	36	0.6966	0.5914	0.6966	0.8346
No log	19.0	38	0.7317	0.5679	0.7317	0.8554
No log	20.0	40	0.7454	0.6279	0.7454	0.8634
No log	21.0	42	0.6673	0.6959	0.6673	0.8169
No log	22.0	44	0.7407	0.6296	0.7407	0.8607
No log	23.0	46	0.8580	0.5909	0.8580	0.9263
No log	24.0	48	0.8135	0.6069	0.8135	0.9019
No log	25.0	50	0.6811	0.6292	0.6811	0.8253
No log	26.0	52	1.0718	0.5474	1.0718	1.0353
No log	27.0	54	0.6732	0.6512	0.6732	0.8205
No log	28.0	56	0.7233	0.6108	0.7233	0.8505
No log	29.0	58	1.3052	0.5057	1.3052	1.1425
No log	30.0	60	0.6874	0.6416	0.6874	0.8291
No log	31.0	62	0.6831	0.6422	0.6831	0.8265
No log	32.0	64	1.0499	0.5660	1.0499	1.0247
No log	33.0	66	1.0383	0.5169	1.0383	1.0190
No log	34.0	68	0.6601	0.6591	0.6601	0.8125
No log	35.0	70	0.9252	0.5512	0.9252	0.9619
No log	36.0	72	0.7887	0.6186	0.7887	0.8881
No log	37.0	74	0.6424	0.6824	0.6424	0.8015
No log	38.0	76	0.8644	0.5487	0.8644	0.9297
No log	39.0	78	0.8330	0.5695	0.8330	0.9127
No log	40.0	80	0.6510	0.6341	0.6510	0.8068
No log	41.0	82	0.8154	0.5957	0.8154	0.9030

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 10, 2025
Updated: Mar 11, 2025