Version19ASAP_FineTuningBERT_AugV19_k15_task1_organization_k15_k15_fold1

genki10/Version19ASAP_FineTuningBERT_AugV19_k15_task1_organization_k15_k15_fold1

Version19ASAP_FineTuningBERT_AugV19_k15_task1_organization_k15_k15_fold1 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 9, 2025
Updated: Mar 9, 2025
SHA: 2f36fb89

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Base models

Model card

From the Hugging Face model README

Version19ASAP_FineTuningBERT_AugV19_k15_task1_organization_k15_k15_fold1

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: 0.8453
Qwk: 0.6009
Mse: 0.8448
Rmse: 0.9191

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	9.8810	0.0	9.8783	3.1430
No log	2.0	6	8.8229	0.0	8.8205	2.9699
No log	3.0	9	7.7000	0.0	7.6976	2.7745
No log	4.0	12	6.6301	0.0	6.6277	2.5744
No log	5.0	15	5.3882	0.0254	5.3860	2.3208
No log	6.0	18	3.8299	0.0	3.8280	1.9565
No log	7.0	21	2.7870	0.0	2.7853	1.6689
No log	8.0	24	2.0302	0.1093	2.0286	1.4243
No log	9.0	27	1.4582	0.0	1.4567	1.2070
No log	10.0	30	1.0719	0.0	1.0705	1.0347
No log	11.0	33	0.9088	0.3555	0.9077	0.9527
No log	12.0	36	0.8798	0.0571	0.8787	0.9374
No log	13.0	39	0.9632	0.0429	0.9622	0.9809
No log	14.0	42	1.2349	0.0143	1.2342	1.1109
No log	15.0	45	1.3866	0.2370	1.3860	1.1773
No log	16.0	48	1.3666	0.2804	1.3661	1.1688
No log	17.0	51	0.9166	0.5373	0.9161	0.9571
No log	18.0	54	0.7298	0.6022	0.7295	0.8541
No log	19.0	57	0.5347	0.6472	0.5339	0.7307
No log	20.0	60	1.3118	0.5217	1.3117	1.1453
No log	21.0	63	0.6039	0.6586	0.6034	0.7768
No log	22.0	66	1.4265	0.4745	1.4264	1.1943
No log	23.0	69	0.5682	0.6363	0.5675	0.7533
No log	24.0	72	0.5784	0.6415	0.5777	0.7601
No log	25.0	75	1.4592	0.4735	1.4589	1.2078
No log	26.0	78	0.7378	0.6104	0.7372	0.8586
No log	27.0	81	0.7455	0.6194	0.7450	0.8631
No log	28.0	84	1.3728	0.4811	1.3724	1.1715
No log	29.0	87	0.9908	0.5643	0.9904	0.9952
No log	30.0	90	0.8800	0.5698	0.8794	0.9378
No log	31.0	93	1.0743	0.5397	1.0737	1.0362
No log	32.0	96	1.0189	0.5524	1.0183	1.0091
No log	33.0	99	1.0225	0.5514	1.0219	1.0109
No log	34.0	102	0.8944	0.5757	0.8938	0.9454
No log	35.0	105	0.7637	0.6019	0.7631	0.8735
No log	36.0	108	1.2373	0.5085	1.2368	1.1121
No log	37.0	111	0.8941	0.5816	0.8935	0.9453
No log	38.0	114	1.1193	0.5206	1.1188	1.0577
No log	39.0	117	0.8949	0.5788	0.8943	0.9457
No log	40.0	120	1.1135	0.4948	1.1129	1.0549
No log	41.0	123	0.8453	0.6009	0.8448	0.9191

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 9, 2025
Updated: Mar 9, 2025