ASAP_FineTuningBERT_AugV8_k10_task1_organization_fold3

genki10/ASAP_FineTuningBERT_AugV8_k10_task1_organization_fold3

ASAP_FineTuningBERT_AugV8_k10_task1_organization_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: Feb 3, 2025
Updated: Feb 4, 2025
SHA: e6f54540

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Base models

Model card

From the Hugging Face model README

ASAP_FineTuningBERT_AugV8_k10_task1_organization_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: 1.9359
Qwk: 0.1548
Mse: 1.9372
Rmse: 1.3918

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	0.25	2	11.3660	0.0117	11.3650	3.3712
No log	0.5	4	10.2282	0.0	10.2275	3.1980
No log	0.75	6	8.2858	0.0	8.2852	2.8784
No log	1.0	8	6.6621	0.0	6.6617	2.5810
6.5469	1.25	10	5.1710	0.0329	5.1706	2.2739
6.5469	1.5	12	4.0013	0.0076	4.0010	2.0003
6.5469	1.75	14	2.8683	0.0	2.8685	1.6937
6.5469	2.0	16	2.1810	0.0853	2.1812	1.4769
6.5469	2.25	18	1.5909	0.0329	1.5914	1.2615
2.3647	2.5	20	1.5947	0.0129	1.5955	1.2631
2.3647	2.75	22	1.4075	0.0157	1.4083	1.1867
2.3647	3.0	24	1.1561	0.0102	1.1570	1.0756
2.3647	3.25	26	1.3992	0.0329	1.3999	1.1832
2.3647	3.5	28	1.7034	0.0926	1.7040	1.3054
1.7022	3.75	30	1.7301	0.1104	1.7308	1.3156
1.7022	4.0	32	1.1643	0.0452	1.1651	1.0794
1.7022	4.25	34	1.8599	0.1272	1.8606	1.3641
1.7022	4.5	36	1.5065	0.1093	1.5073	1.2277
1.7022	4.75	38	0.7897	0.3557	0.7905	0.8891
1.5456	5.0	40	1.2770	0.1380	1.2779	1.1304
1.5456	5.25	42	2.0538	0.1825	2.0547	1.4334
1.5456	5.5	44	0.8848	0.3190	0.8856	0.9411
1.5456	5.75	46	0.8883	0.3191	0.8891	0.9429
1.5456	6.0	48	1.6953	0.1913	1.6963	1.3024
1.2794	6.25	50	0.8889	0.3603	0.8896	0.9432
1.2794	6.5	52	1.1502	0.2700	1.1512	1.0729
1.2794	6.75	54	2.3053	0.0932	2.3064	1.5187
1.2794	7.0	56	1.0398	0.3160	1.0407	1.0201
1.2794	7.25	58	0.7600	0.4084	0.7605	0.8720
1.0687	7.5	60	1.9526	0.1243	1.9537	1.3977
1.0687	7.75	62	1.9734	0.1187	1.9744	1.4051
1.0687	8.0	64	0.7830	0.3927	0.7835	0.8851
1.0687	8.25	66	0.9158	0.3456	0.9164	0.9573
1.0687	8.5	68	1.8712	0.1380	1.8724	1.3684
0.7516	8.75	70	0.9993	0.3261	0.9999	1.0000
0.7516	9.0	72	0.6742	0.4639	0.6743	0.8212
0.7516	9.25	74	0.8835	0.4050	0.8840	0.9402
0.7516	9.5	76	2.2347	0.1095	2.2360	1.4953
0.7516	9.75	78	1.5217	0.2001	1.5229	1.2341
0.7336	10.0	80	0.7839	0.4550	0.7844	0.8856
0.7336	10.25	82	1.1400	0.2530	1.1411	1.0682
0.7336	10.5	84	2.7707	0.0328	2.7723	1.6650
0.7336	10.75	86	1.8539	0.0965	1.8553	1.3621
0.7336	11.0	88	0.8147	0.4035	0.8151	0.9028
0.5475	11.25	90	0.8105	0.4264	0.8108	0.9005
0.5475	11.5	92	1.9359	0.1548	1.9372	1.3918

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 3, 2025
Updated: Feb 4, 2025