ASAP_FineTuningBERT_AugV10_k5_task1_organization_k5_k5_fold4

genki10/ASAP_FineTuningBERT_AugV10_k5_task1_organization_k5_k5_fold4

ASAP_FineTuningBERT_AugV10_k5_task1_organization_k5_k5_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 13, 2025
Updated: Feb 13, 2025
SHA: 8c3e8748

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Base models

Model card

From the Hugging Face model README

ASAP_FineTuningBERT_AugV10_k5_task1_organization_k5_k5_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: 0.7661
Qwk: 0.5270
Mse: 0.7661
Rmse: 0.8753

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	4	8.1195	0.0	8.1195	2.8495
No log	2.0	8	5.7076	-0.0143	5.7076	2.3891
No log	3.0	12	3.2181	0.0040	3.2181	1.7939
No log	4.0	16	1.6812	0.0622	1.6812	1.2966
No log	5.0	20	1.1474	0.0213	1.1474	1.0712
No log	6.0	24	1.6032	0.0605	1.6032	1.2662
No log	7.0	28	0.8685	0.1794	0.8685	0.9320
No log	8.0	32	1.0612	0.0981	1.0612	1.0301
No log	9.0	36	0.8339	0.2947	0.8339	0.9132
No log	10.0	40	0.8960	0.3388	0.8960	0.9466
No log	11.0	44	0.7682	0.4303	0.7682	0.8764
No log	12.0	48	0.6747	0.4586	0.6747	0.8214
No log	13.0	52	1.0150	0.3952	1.0150	1.0075
No log	14.0	56	0.6675	0.5234	0.6675	0.8170
No log	15.0	60	0.9004	0.4332	0.9004	0.9489
No log	16.0	64	1.0515	0.4016	1.0515	1.0254
No log	17.0	68	0.7313	0.5316	0.7313	0.8551
No log	18.0	72	0.8971	0.4511	0.8971	0.9472
No log	19.0	76	0.7584	0.5102	0.7584	0.8709
No log	20.0	80	0.7135	0.5438	0.7135	0.8447
No log	21.0	84	1.0331	0.4139	1.0331	1.0164
No log	22.0	88	0.7536	0.5342	0.7536	0.8681
No log	23.0	92	0.7678	0.5089	0.7678	0.8762
No log	24.0	96	0.9259	0.4624	0.9259	0.9623
No log	25.0	100	0.7625	0.5576	0.7625	0.8732
No log	26.0	104	0.7826	0.5259	0.7826	0.8846
No log	27.0	108	0.8239	0.4534	0.8239	0.9077
No log	28.0	112	0.7630	0.5093	0.7630	0.8735
No log	29.0	116	0.7821	0.5358	0.7821	0.8844
No log	30.0	120	0.7519	0.5261	0.7519	0.8671
No log	31.0	124	0.8739	0.4759	0.8739	0.9348
No log	32.0	128	0.8679	0.4772	0.8679	0.9316
No log	33.0	132	0.8149	0.5078	0.8149	0.9027
No log	34.0	136	0.9182	0.4519	0.9182	0.9582
No log	35.0	140	0.8011	0.5110	0.8011	0.8951
No log	36.0	144	0.8547	0.4691	0.8547	0.9245
No log	37.0	148	0.7940	0.5220	0.7940	0.8910
No log	38.0	152	0.7559	0.5605	0.7559	0.8694
No log	39.0	156	0.8591	0.4696	0.8591	0.9269
No log	40.0	160	0.7570	0.5390	0.7570	0.8700
No log	41.0	164	1.0017	0.4321	1.0017	1.0008
No log	42.0	168	0.7519	0.5313	0.7519	0.8671
No log	43.0	172	0.9590	0.4481	0.9590	0.9793
No log	44.0	176	0.7704	0.5317	0.7704	0.8777
No log	45.0	180	0.7769	0.4870	0.7769	0.8814
No log	46.0	184	0.7592	0.5299	0.7592	0.8713
No log	47.0	188	0.8565	0.4869	0.8565	0.9255
No log	48.0	192	0.7904	0.4852	0.7904	0.8890
No log	49.0	196	0.7772	0.5132	0.7772	0.8816
No log	50.0	200	0.7194	0.5583	0.7194	0.8482
No log	51.0	204	0.7371	0.5240	0.7371	0.8586
No log	52.0	208	0.7949	0.4944	0.7949	0.8916
No log	53.0	212	0.7686	0.5068	0.7686	0.8767
No log	54.0	216	0.8027	0.5031	0.8027	0.8959
No log	55.0	220	0.7894	0.5101	0.7894	0.8885
No log	56.0	224	0.7427	0.5148	0.7427	0.8618
No log	57.0	228	0.7925	0.5080	0.7925	0.8902
No log	58.0	232	0.7661	0.5270	0.7661	0.8753

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 13, 2025
Updated: Feb 13, 2025