Version3ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_fold4

genki10/Version3ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_fold4

Version3ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_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: 28a40930

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Base models

Model card

From the Hugging Face model README

Version3ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_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: 0.5837
Qwk: 0.5569
Mse: 0.5837
Rmse: 0.7640

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	3	8.5344	0.0018	8.5344	2.9214
No log	2.0	6	6.3333	0.0	6.3333	2.5166
No log	3.0	9	4.5604	0.0128	4.5604	2.1355
No log	4.0	12	3.2804	0.0040	3.2804	1.8112
No log	5.0	15	2.1627	0.1537	2.1627	1.4706
No log	6.0	18	1.4813	0.0317	1.4813	1.2171
No log	7.0	21	1.1479	0.0213	1.1479	1.0714
No log	8.0	24	0.9566	0.0317	0.9566	0.9780
No log	9.0	27	1.4282	0.0636	1.4282	1.1951
No log	10.0	30	0.9557	0.0624	0.9557	0.9776
No log	11.0	33	1.1515	0.2300	1.1515	1.0731
No log	12.0	36	0.7995	0.4433	0.7995	0.8941
No log	13.0	39	0.9645	0.4175	0.9645	0.9821
No log	14.0	42	0.7087	0.5171	0.7087	0.8419
No log	15.0	45	0.8984	0.4639	0.8984	0.9478
No log	16.0	48	0.6319	0.5319	0.6319	0.7949
No log	17.0	51	0.7657	0.5056	0.7657	0.8750
No log	18.0	54	0.6112	0.5212	0.6112	0.7818
No log	19.0	57	0.9578	0.4638	0.9578	0.9787
No log	20.0	60	0.6678	0.5281	0.6678	0.8172
No log	21.0	63	0.9637	0.4521	0.9637	0.9817
No log	22.0	66	0.6340	0.5447	0.6340	0.7962
No log	23.0	69	0.7048	0.5114	0.7048	0.8395
No log	24.0	72	0.6844	0.5560	0.6844	0.8273
No log	25.0	75	1.0877	0.4430	1.0877	1.0429
No log	26.0	78	0.7503	0.5327	0.7503	0.8662
No log	27.0	81	0.7996	0.4953	0.7996	0.8942
No log	28.0	84	0.7754	0.4925	0.7754	0.8806
No log	29.0	87	0.5971	0.6049	0.5971	0.7727
No log	30.0	90	0.8968	0.4536	0.8968	0.9470
No log	31.0	93	0.6455	0.5558	0.6455	0.8035
No log	32.0	96	0.5975	0.5824	0.5975	0.7730
No log	33.0	99	1.4034	0.3328	1.4034	1.1847
No log	34.0	102	0.8904	0.4560	0.8904	0.9436
No log	35.0	105	0.6422	0.5882	0.6422	0.8014
No log	36.0	108	1.0107	0.4205	1.0107	1.0053
No log	37.0	111	0.9126	0.4124	0.9126	0.9553
No log	38.0	114	0.6009	0.5317	0.6009	0.7752
No log	39.0	117	0.8913	0.4170	0.8913	0.9441
No log	40.0	120	0.7127	0.4803	0.7127	0.8442
No log	41.0	123	0.6054	0.5525	0.6054	0.7781
No log	42.0	126	0.8979	0.4323	0.8979	0.9476
No log	43.0	129	0.7960	0.4811	0.7960	0.8922
No log	44.0	132	0.5987	0.5810	0.5987	0.7738
No log	45.0	135	0.8422	0.4397	0.8422	0.9177
No log	46.0	138	0.5929	0.5664	0.5929	0.7700
No log	47.0	141	0.6316	0.5559	0.6316	0.7947
No log	48.0	144	0.8220	0.4480	0.8220	0.9066
No log	49.0	147	0.5837	0.5569	0.5837	0.7640

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