ASAP_nosemantic_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold1

genki10/ASAP_nosemantic_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold1

ASAP_nosemantic_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_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 7, 2025
Updated: Mar 7, 2025
SHA: e26c4d5a

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Base models

Model card

From the Hugging Face model README

ASAP_nosemantic_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_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: 0.6535
Qwk: 0.4794
Mse: 0.6526
Rmse: 0.8078

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	7.8427	0.0018	7.8401	2.8000
No log	2.0	6	5.9687	-0.0031	5.9664	2.4426
No log	3.0	9	4.7665	0.0050	4.7645	2.1828
No log	4.0	12	3.5718	0.0	3.5698	1.8894
No log	5.0	15	2.8151	0.0	2.8134	1.6773
No log	6.0	18	1.9631	0.0342	1.9616	1.4006
No log	7.0	21	1.3821	0.0	1.3807	1.1750
No log	8.0	24	1.0975	0.0	1.0963	1.0470
No log	9.0	27	0.9927	0.0390	0.9912	0.9956
No log	10.0	30	0.7845	0.3532	0.7833	0.8850
No log	11.0	33	0.7510	0.4146	0.7497	0.8659
No log	12.0	36	0.6459	0.3452	0.6450	0.8031
No log	13.0	39	0.8984	0.2091	0.8970	0.9471
No log	14.0	42	0.7611	0.4338	0.7598	0.8717
No log	15.0	45	0.6804	0.4649	0.6791	0.8241
No log	16.0	48	0.7242	0.4202	0.7230	0.8503
No log	17.0	51	1.0586	0.2587	1.0571	1.0281
No log	18.0	54	0.7623	0.4269	0.7613	0.8725
No log	19.0	57	0.7591	0.4454	0.7578	0.8705
No log	20.0	60	0.6303	0.4878	0.6292	0.7932
No log	21.0	63	0.6997	0.4257	0.6984	0.8357
No log	22.0	66	0.7658	0.4800	0.7645	0.8744
No log	23.0	69	0.7778	0.4508	0.7765	0.8812
No log	24.0	72	0.7206	0.4212	0.7195	0.8482
No log	25.0	75	0.8053	0.3931	0.8038	0.8966
No log	26.0	78	0.7614	0.4636	0.7603	0.8719
No log	27.0	81	0.7607	0.4677	0.7595	0.8715
No log	28.0	84	0.6823	0.4623	0.6813	0.8254
No log	29.0	87	0.7182	0.4311	0.7169	0.8467
No log	30.0	90	0.7378	0.4399	0.7367	0.8583
No log	31.0	93	0.7637	0.4216	0.7626	0.8733
No log	32.0	96	0.7265	0.4436	0.7254	0.8517
No log	33.0	99	0.7025	0.4553	0.7016	0.8376
No log	34.0	102	0.7076	0.4602	0.7065	0.8406
No log	35.0	105	0.7087	0.4854	0.7078	0.8413
No log	36.0	108	0.8133	0.4484	0.8121	0.9012
No log	37.0	111	0.6391	0.5174	0.6381	0.7988
No log	38.0	114	0.6482	0.5028	0.6473	0.8045
No log	39.0	117	0.6792	0.4782	0.6782	0.8235
No log	40.0	120	0.6878	0.4733	0.6868	0.8287
No log	41.0	123	0.7118	0.4231	0.7106	0.8430
No log	42.0	126	0.6828	0.4688	0.6817	0.8257
No log	43.0	129	0.6717	0.4681	0.6706	0.8189
No log	44.0	132	0.6584	0.4876	0.6574	0.8108
No log	45.0	135	0.6828	0.4677	0.6818	0.8257
No log	46.0	138	0.6694	0.4700	0.6684	0.8175
No log	47.0	141	0.6495	0.4798	0.6486	0.8054
No log	48.0	144	0.6671	0.4990	0.6662	0.8162
No log	49.0	147	0.7189	0.4851	0.7182	0.8474
No log	50.0	150	0.7117	0.4660	0.7106	0.8430
No log	51.0	153	0.6424	0.4890	0.6415	0.8009
No log	52.0	156	0.6462	0.4747	0.6452	0.8033
No log	53.0	159	0.6775	0.4672	0.6765	0.8225
No log	54.0	162	0.7045	0.4358	0.7036	0.8388
No log	55.0	165	0.6764	0.4546	0.6754	0.8218
No log	56.0	168	0.6813	0.4337	0.6804	0.8249
No log	57.0	171	0.6535	0.4794	0.6526	0.8078

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 7, 2025
Updated: Mar 7, 2025