ASAP_FineTuningBERT_AugV11_k10_task1_organization_k10_k10_fold4

genki10/ASAP_FineTuningBERT_AugV11_k10_task1_organization_k10_k10_fold4

ASAP_FineTuningBERT_AugV11_k10_task1_organization_k10_k10_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 17, 2025
Updated: Feb 18, 2025
SHA: a4953623

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Base models

Model card

From the Hugging Face model README

ASAP_FineTuningBERT_AugV11_k10_task1_organization_k10_k10_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: 1.1613
Qwk: 0.3428
Mse: 1.1613
Rmse: 1.0777

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	8	5.7673	0.0498	5.7673	2.4015
No log	2.0	16	1.7498	0.1196	1.7498	1.3228
No log	3.0	24	1.2818	0.0572	1.2818	1.1322
No log	4.0	32	1.3798	0.0596	1.3798	1.1746
No log	5.0	40	1.8003	0.1805	1.8003	1.3418
No log	6.0	48	1.3041	0.0857	1.3041	1.1420
No log	7.0	56	0.9080	0.3002	0.9080	0.9529
No log	8.0	64	1.0162	0.3864	1.0162	1.0081
No log	9.0	72	0.6733	0.5006	0.6733	0.8205
No log	10.0	80	0.8968	0.3624	0.8968	0.9470
No log	11.0	88	1.0571	0.3552	1.0571	1.0281
No log	12.0	96	1.0052	0.3859	1.0052	1.0026
No log	13.0	104	0.7844	0.4744	0.7844	0.8856
No log	14.0	112	1.3642	0.3203	1.3642	1.1680
No log	15.0	120	1.1570	0.3907	1.1570	1.0756
No log	16.0	128	0.8174	0.4920	0.8174	0.9041
No log	17.0	136	0.8436	0.4768	0.8436	0.9185
No log	18.0	144	0.8553	0.4675	0.8553	0.9248
No log	19.0	152	0.7679	0.5078	0.7679	0.8763
No log	20.0	160	0.7894	0.5029	0.7894	0.8885
No log	21.0	168	1.2457	0.3389	1.2457	1.1161
No log	22.0	176	0.8612	0.4736	0.8612	0.9280
No log	23.0	184	0.9106	0.4092	0.9106	0.9542
No log	24.0	192	0.8686	0.4535	0.8686	0.9320
No log	25.0	200	0.8387	0.4611	0.8387	0.9158
No log	26.0	208	0.9708	0.3893	0.9708	0.9853
No log	27.0	216	1.0501	0.3885	1.0501	1.0247
No log	28.0	224	0.7890	0.4500	0.7890	0.8882
No log	29.0	232	0.8444	0.4264	0.8444	0.9189
No log	30.0	240	0.8854	0.4531	0.8854	0.9410
No log	31.0	248	0.8033	0.5283	0.8033	0.8963
No log	32.0	256	0.8156	0.4773	0.8156	0.9031
No log	33.0	264	0.7692	0.4868	0.7692	0.8770
No log	34.0	272	0.7939	0.5169	0.7939	0.8910
No log	35.0	280	0.7473	0.4917	0.7473	0.8644
No log	36.0	288	0.7577	0.4718	0.7577	0.8704
No log	37.0	296	0.7754	0.4645	0.7753	0.8805
No log	38.0	304	1.0354	0.3845	1.0354	1.0175
No log	39.0	312	1.1135	0.4016	1.1135	1.0552
No log	40.0	320	0.8470	0.4593	0.8470	0.9203
No log	41.0	328	0.8080	0.4376	0.8080	0.8989
No log	42.0	336	0.8051	0.4580	0.8051	0.8973
No log	43.0	344	0.9514	0.4221	0.9514	0.9754
No log	44.0	352	0.9110	0.4204	0.9110	0.9545
No log	45.0	360	1.0911	0.3689	1.0911	1.0446
No log	46.0	368	0.9132	0.4390	0.9132	0.9556
No log	47.0	376	1.1479	0.3725	1.1479	1.0714
No log	48.0	384	0.9146	0.4405	0.9146	0.9563
No log	49.0	392	0.8559	0.4187	0.8559	0.9251
No log	50.0	400	0.8721	0.4045	0.8721	0.9339
No log	51.0	408	1.1613	0.3428	1.1613	1.0777

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 17, 2025
Updated: Feb 18, 2025