Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold3

genki10/Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold3

Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold3 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 14, 2025
Updated: Mar 14, 2025
SHA: afb78fe4

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Base models

Model card

From the Hugging Face model README

Version12NewTestASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold3

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: 0.8688
Qwk: 0.4706
Mse: 0.8688
Rmse: 0.9321

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	11.5031	-0.0184	11.5031	3.3916
No log	2.0	6	8.5144	0.0	8.5144	2.9179
No log	3.0	9	5.8640	0.0	5.8640	2.4216
No log	4.0	12	4.2557	0.0	4.2557	2.0629
No log	5.0	15	3.0479	0.0	3.0479	1.7458
No log	6.0	18	2.1984	0.0	2.1984	1.4827
No log	7.0	21	1.6961	0.0	1.6961	1.3023
No log	8.0	24	1.3423	0.0	1.3423	1.1586
No log	9.0	27	1.2194	0.0	1.2194	1.1043
No log	10.0	30	1.8543	0.1586	1.8543	1.3617
No log	11.0	33	1.3008	0.0789	1.3008	1.1405
No log	12.0	36	1.2848	0.1511	1.2848	1.1335
No log	13.0	39	2.0181	0.1614	2.0181	1.4206
No log	14.0	42	0.9546	0.2569	0.9546	0.9770
No log	15.0	45	1.5896	0.2177	1.5896	1.2608
No log	16.0	48	1.1359	0.3457	1.1359	1.0658
No log	17.0	51	0.8630	0.3762	0.8630	0.9290
No log	18.0	54	1.3190	0.3020	1.3190	1.1485
No log	19.0	57	0.8978	0.4072	0.8978	0.9475
No log	20.0	60	1.1106	0.4094	1.1106	1.0538
No log	21.0	63	1.1152	0.3947	1.1152	1.0560
No log	22.0	66	1.1637	0.3774	1.1637	1.0788
No log	23.0	69	0.8157	0.4220	0.8157	0.9031
No log	24.0	72	1.1733	0.3908	1.1733	1.0832
No log	25.0	75	0.9054	0.4615	0.9054	0.9515
No log	26.0	78	1.1823	0.3773	1.1823	1.0873
No log	27.0	81	0.7990	0.4412	0.7990	0.8939
No log	28.0	84	1.1466	0.3967	1.1466	1.0708
No log	29.0	87	0.8838	0.4773	0.8838	0.9401
No log	30.0	90	1.1180	0.4256	1.1180	1.0573
No log	31.0	93	0.8786	0.4418	0.8786	0.9373
No log	32.0	96	1.1238	0.4067	1.1238	1.0601
No log	33.0	99	0.8216	0.4677	0.8216	0.9064
No log	34.0	102	1.3335	0.3206	1.3335	1.1548
No log	35.0	105	0.8217	0.4684	0.8217	0.9065
No log	36.0	108	1.0026	0.4362	1.0026	1.0013
No log	37.0	111	0.8492	0.5056	0.8492	0.9215
No log	38.0	114	1.3275	0.3864	1.3275	1.1522
No log	39.0	117	0.8583	0.4877	0.8583	0.9265
No log	40.0	120	0.8526	0.4558	0.8526	0.9234
No log	41.0	123	1.0478	0.4260	1.0478	1.0236
No log	42.0	126	0.8075	0.4870	0.8075	0.8986
No log	43.0	129	0.8740	0.4234	0.8740	0.9349
No log	44.0	132	0.7965	0.4398	0.7965	0.8925
No log	45.0	135	0.8743	0.4279	0.8743	0.9351
No log	46.0	138	0.8218	0.4759	0.8218	0.9065
No log	47.0	141	0.9189	0.4715	0.9189	0.9586
No log	48.0	144	0.9049	0.4659	0.9049	0.9513
No log	49.0	147	0.8990	0.4773	0.8990	0.9482
No log	50.0	150	0.9295	0.4865	0.9295	0.9641
No log	51.0	153	0.8483	0.4142	0.8483	0.9210
No log	52.0	156	0.8889	0.4254	0.8889	0.9428
No log	53.0	159	0.8874	0.4791	0.8874	0.9420
No log	54.0	162	0.9141	0.4350	0.9141	0.9561
No log	55.0	165	0.8950	0.4199	0.8950	0.9460
No log	56.0	168	0.9080	0.4292	0.9080	0.9529
No log	57.0	171	0.8688	0.4706	0.8688	0.9321

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 14, 2025
Updated: Mar 14, 2025