Version3ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_fold3

genki10/Version3ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_fold3

Version3ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_fold3 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: f5219c8d

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Base models

Model card

From the Hugging Face model README

Version3ASAP_FineTuningBERT_AugV14_k1_task1_organization_k1_k1_fold3

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: 1.1105
Qwk: 0.4035
Mse: 1.1101
Rmse: 1.0536

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	11.1846	0.0138	11.1827	3.3441
No log	2.0	4	9.9864	0.0	9.9845	3.1598
No log	3.0	6	9.3669	0.0	9.3650	3.0602
No log	4.0	8	8.5577	0.0	8.5559	2.9250
No log	5.0	10	7.7513	0.0	7.7496	2.7838
No log	6.0	12	7.0228	0.0	7.0213	2.6498
No log	7.0	14	6.2826	-0.0012	6.2811	2.5062
No log	8.0	16	5.3855	0.0	5.3841	2.3204
No log	9.0	18	4.4370	0.0	4.4358	2.1061
No log	10.0	20	3.6597	0.0	3.6586	1.9127
No log	11.0	22	3.0190	0.0	3.0179	1.7372
No log	12.0	24	2.3744	0.1836	2.3735	1.5406
No log	13.0	26	2.0118	0.0365	2.0110	1.4181
No log	14.0	28	1.6013	0.0102	1.6006	1.2651
No log	15.0	30	1.4728	0.0365	1.4720	1.2133
No log	16.0	32	1.2390	0.0365	1.2382	1.1128
No log	17.0	34	1.0730	0.0365	1.0724	1.0356
No log	18.0	36	1.0169	0.0391	1.0163	1.0081
No log	19.0	38	1.0674	0.1572	1.0670	1.0329
No log	20.0	40	1.3563	0.2245	1.3559	1.1644
No log	21.0	42	1.4560	0.2335	1.4556	1.2065
No log	22.0	44	0.7178	0.5593	0.7176	0.8471
No log	23.0	46	0.6969	0.5404	0.6967	0.8347
No log	24.0	48	0.9033	0.3378	0.9030	0.9503
No log	25.0	50	1.3017	0.2508	1.3013	1.1407
No log	26.0	52	0.8661	0.4126	0.8660	0.9306
No log	27.0	54	0.5770	0.5318	0.5771	0.7596
No log	28.0	56	0.7035	0.4610	0.7037	0.8389
No log	29.0	58	0.6211	0.5168	0.6213	0.7882
No log	30.0	60	0.6611	0.5082	0.6613	0.8132
No log	31.0	62	0.8202	0.4315	0.8204	0.9058
No log	32.0	64	0.6009	0.5400	0.6010	0.7752
No log	33.0	66	0.6086	0.5369	0.6088	0.7803
No log	34.0	68	0.7499	0.4466	0.7502	0.8662
No log	35.0	70	0.7246	0.4663	0.7249	0.8514
No log	36.0	72	0.6758	0.5135	0.6759	0.8221
No log	37.0	74	0.7876	0.4716	0.7874	0.8874
No log	38.0	76	0.8694	0.4710	0.8690	0.9322
No log	39.0	78	0.8724	0.4753	0.8720	0.9338
No log	40.0	80	0.7495	0.5268	0.7492	0.8656
No log	41.0	82	1.1899	0.3955	1.1894	1.0906
No log	42.0	84	1.1105	0.4035	1.1101	1.0536

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