BERT_AugV8_k3_task1_organization_sp060_lw010_fold0

genki10/BERT_AugV8_k3_task1_organization_sp060_lw010_fold0

BERT_AugV8_k3_task1_organization_sp060_lw010_fold0 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 25, 2025
Updated: Apr 3, 2025
SHA: e63af819

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Base models

Model card

From the Hugging Face model README

BERT_AugV8_k3_task1_organization_sp060_lw010_fold0

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: 1.3597
Qwk: 0.2266
Mse: 1.3597
Rmse: 1.1661

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: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	3	8.0155	0.0	8.0155	2.8312
No log	2.0	6	6.6312	0.0	6.6312	2.5751
No log	3.0	9	5.2768	0.0115	5.2768	2.2971
No log	4.0	12	4.0570	0.0039	4.0570	2.0142
No log	5.0	15	2.8350	0.0	2.8350	1.6838
No log	6.0	18	1.8939	0.0474	1.8939	1.3762
No log	7.0	21	1.7089	0.0212	1.7089	1.3072
No log	8.0	24	1.2253	0.0212	1.2253	1.1069
No log	9.0	27	1.1928	0.0382	1.1928	1.0921
No log	10.0	30	1.2006	0.0484	1.2006	1.0957
No log	11.0	33	1.1754	0.0575	1.1754	1.0841
No log	12.0	36	1.2375	0.1023	1.2375	1.1124
No log	13.0	39	1.1657	0.1371	1.1657	1.0797
No log	14.0	42	1.1845	0.2072	1.1845	1.0883
No log	15.0	45	0.9294	0.3457	0.9294	0.9640
No log	16.0	48	1.1152	0.2293	1.1152	1.0560
No log	17.0	51	0.8130	0.3157	0.8130	0.9016
No log	18.0	54	1.2936	0.2545	1.2936	1.1374
No log	19.0	57	0.9139	0.2710	0.9139	0.9560
No log	20.0	60	1.3018	0.2158	1.3018	1.1410
No log	21.0	63	0.8783	0.3654	0.8783	0.9372
No log	22.0	66	1.3009	0.2613	1.3009	1.1406
No log	23.0	69	0.9442	0.3531	0.9442	0.9717
No log	24.0	72	1.2903	0.2722	1.2903	1.1359
No log	25.0	75	0.9923	0.3473	0.9923	0.9962
No log	26.0	78	1.1273	0.3054	1.1273	1.0617
No log	27.0	81	0.9468	0.3719	0.9468	0.9730
No log	28.0	84	1.2521	0.2856	1.2521	1.1190
No log	29.0	87	0.8991	0.3962	0.8991	0.9482
No log	30.0	90	1.0722	0.3268	1.0722	1.0355
No log	31.0	93	1.1533	0.3184	1.1533	1.0739
No log	32.0	96	1.1634	0.3208	1.1634	1.0786
No log	33.0	99	1.1743	0.2827	1.1743	1.0837
No log	34.0	102	0.8165	0.4126	0.8165	0.9036
No log	35.0	105	1.0456	0.3293	1.0456	1.0226
No log	36.0	108	1.1699	0.3209	1.1699	1.0816
No log	37.0	111	1.2595	0.3064	1.2595	1.1223
No log	38.0	114	1.4476	0.2330	1.4476	1.2031
No log	39.0	117	1.0614	0.3383	1.0614	1.0302
No log	40.0	120	1.2614	0.2373	1.2614	1.1231
No log	41.0	123	1.0682	0.3328	1.0682	1.0335
No log	42.0	126	1.1712	0.2915	1.1712	1.0822
No log	43.0	129	0.9393	0.3549	0.9393	0.9692
No log	44.0	132	1.4310	0.2237	1.4310	1.1962
No log	45.0	135	0.9290	0.3540	0.9290	0.9638
No log	46.0	138	1.0288	0.3450	1.0288	1.0143
No log	47.0	141	1.2504	0.2559	1.2504	1.1182
No log	48.0	144	0.9837	0.3786	0.9837	0.9918
No log	49.0	147	1.3597	0.2266	1.3597	1.1661

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 25, 2025
Updated: Apr 3, 2025