Version_Test_ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_fold4

genki10/Version_Test_ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_fold4

Version_Test_ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_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. --

Downloads · 30 days

44% of all-time downloads

All-time downloads

Public

Repo size

45.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin876 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Feb 20, 2025
Updated: Feb 20, 2025
SHA: fa2c2ccc

Try a prompt

Base models

Model card

From the Hugging Face model README

Version_Test_ASAP_FineTuningBERT_AugV14_k3_task1_organization_k3_k3_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: 0.7973
Qwk: 0.5839
Mse: 0.7973
Rmse: 0.8929

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	8.2147	0.0018	8.2147	2.8661
No log	2.0	6	6.2316	0.0018	6.2316	2.4963
No log	3.0	9	4.4816	0.0156	4.4816	2.1170
No log	4.0	12	2.8322	0.0118	2.8322	1.6829
No log	5.0	15	1.9788	0.0878	1.9788	1.4067
No log	6.0	18	1.3501	0.0522	1.3501	1.1620
No log	7.0	21	1.0642	0.0420	1.0642	1.0316
No log	8.0	24	0.7942	0.3642	0.7942	0.8912
No log	9.0	27	0.6630	0.4136	0.6630	0.8142
No log	10.0	30	0.6329	0.4709	0.6329	0.7955
No log	11.0	33	0.6286	0.4661	0.6286	0.7929
No log	12.0	36	0.8197	0.5267	0.8197	0.9054
No log	13.0	39	0.8533	0.5329	0.8533	0.9237
No log	14.0	42	0.6034	0.5713	0.6034	0.7768
No log	15.0	45	0.7117	0.5230	0.7117	0.8436
No log	16.0	48	0.6294	0.6321	0.6294	0.7934
No log	17.0	51	0.7045	0.5868	0.7045	0.8394
No log	18.0	54	0.7161	0.6103	0.7161	0.8462
No log	19.0	57	0.8926	0.5506	0.8926	0.9448
No log	20.0	60	0.8367	0.5007	0.8367	0.9147
No log	21.0	63	1.0633	0.4811	1.0633	1.0312
No log	22.0	66	0.6707	0.6410	0.6707	0.8190
No log	23.0	69	0.6680	0.6380	0.6680	0.8173
No log	24.0	72	1.0333	0.5131	1.0333	1.0165
No log	25.0	75	0.7043	0.6364	0.7043	0.8392
No log	26.0	78	1.4295	0.3714	1.4295	1.1956
No log	27.0	81	1.1607	0.4567	1.1607	1.0774
No log	28.0	84	0.9309	0.4765	0.9309	0.9648
No log	29.0	87	0.7486	0.5960	0.7486	0.8652
No log	30.0	90	0.7426	0.6210	0.7426	0.8617
No log	31.0	93	0.9241	0.5759	0.9241	0.9613
No log	32.0	96	0.9946	0.5514	0.9946	0.9973
No log	33.0	99	0.8110	0.5745	0.8110	0.9006
No log	34.0	102	0.7602	0.6179	0.7602	0.8719
No log	35.0	105	0.7699	0.5833	0.7699	0.8775
No log	36.0	108	0.7003	0.6228	0.7003	0.8369
No log	37.0	111	0.7198	0.6337	0.7198	0.8484
No log	38.0	114	0.8095	0.5822	0.8095	0.8997
No log	39.0	117	1.1640	0.5207	1.1640	1.0789
No log	40.0	120	0.8498	0.5783	0.8498	0.9219
No log	41.0	123	0.7036	0.6335	0.7036	0.8388
No log	42.0	126	0.7973	0.5839	0.7973	0.8929

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 20, 2025
Updated: Feb 20, 2025