Version2ASAP_FineTuningBERT_AugV8_k1_task1_organization_k1_k1_fold0

genki10/Version2ASAP_FineTuningBERT_AugV8_k1_task1_organization_k1_k1_fold0

Version2ASAP_FineTuningBERT_AugV8_k1_task1_organization_k1_k1_fold0 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 1, 2025
Updated: Mar 1, 2025
SHA: d7936ce0

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Base models

Model card

From the Hugging Face model README

Version2ASAP_FineTuningBERT_AugV8_k1_task1_organization_k1_k1_fold0

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: 0.8096
Qwk: 0.4623
Mse: 0.8096
Rmse: 0.8998

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	13.0529	0.0	13.0529	3.6129
No log	2.0	4	11.6277	-0.0128	11.6277	3.4099
No log	3.0	6	8.8297	0.0	8.8297	2.9715
No log	4.0	8	7.1004	0.0	7.1004	2.6646
No log	5.0	10	6.0067	0.0243	6.0067	2.4509
No log	6.0	12	4.6003	0.0115	4.6003	2.1448
No log	7.0	14	3.7249	0.0115	3.7249	1.9300
No log	8.0	16	3.1614	0.0039	3.1614	1.7780
No log	9.0	18	2.4654	0.0832	2.4654	1.5702
No log	10.0	20	2.1146	0.1182	2.1146	1.4542
No log	11.0	22	1.7327	0.0548	1.7327	1.3163
No log	12.0	24	1.4631	0.0316	1.4631	1.2096
No log	13.0	26	1.2754	0.0316	1.2754	1.1293
No log	14.0	28	1.2275	0.0583	1.2275	1.1079
No log	15.0	30	1.0072	0.0520	1.0072	1.0036
No log	16.0	32	0.9089	0.0681	0.9089	0.9533
No log	17.0	34	0.8988	0.1958	0.8988	0.9480
No log	18.0	36	1.0518	0.2069	1.0518	1.0255
No log	19.0	38	0.7647	0.4440	0.7647	0.8745
No log	20.0	40	0.6460	0.4912	0.6460	0.8037
No log	21.0	42	0.7971	0.4310	0.7971	0.8928
No log	22.0	44	0.6279	0.5076	0.6279	0.7924
No log	23.0	46	0.5885	0.4202	0.5885	0.7671
No log	24.0	48	0.5691	0.4689	0.5691	0.7544
No log	25.0	50	0.7075	0.4839	0.7075	0.8411
No log	26.0	52	0.5794	0.4722	0.5794	0.7612
No log	27.0	54	0.6138	0.4189	0.6138	0.7835
No log	28.0	56	0.6250	0.4731	0.6250	0.7905
No log	29.0	58	0.7479	0.4654	0.7479	0.8648
No log	30.0	60	0.6298	0.4972	0.6298	0.7936
No log	31.0	62	0.6499	0.4797	0.6499	0.8062
No log	32.0	64	0.6423	0.5060	0.6423	0.8014
No log	33.0	66	0.7056	0.4542	0.7056	0.8400
No log	34.0	68	0.7211	0.4787	0.7211	0.8492
No log	35.0	70	0.8699	0.4466	0.8699	0.9327
No log	36.0	72	0.8532	0.4760	0.8532	0.9237
No log	37.0	74	0.8418	0.4730	0.8418	0.9175
No log	38.0	76	0.7593	0.5025	0.7593	0.8714
No log	39.0	78	0.7242	0.4943	0.7242	0.8510
No log	40.0	80	0.7146	0.4852	0.7146	0.8454
No log	41.0	82	0.7204	0.4603	0.7204	0.8488
No log	42.0	84	0.8096	0.4623	0.8096	0.8998

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 1, 2025
Updated: Mar 1, 2025