BERT_V8_sp10_lw40_ex50_lo100_k7_k7_fold1

genki10/BERT_V8_sp10_lw40_ex50_lo100_k7_k7_fold1

BERT_V8_sp10_lw40_ex50_lo100_k7_k7_fold1 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: Apr 27, 2025
Updated: Apr 27, 2025
SHA: 6e7084ab

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Base models

Model card

From the Hugging Face model README

BERT_V8_sp10_lw40_ex50_lo100_k7_k7_fold1

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: 1.3624
Qwk: 0.1344
Mse: 1.3609
Rmse: 1.1666

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 OptimizerNames.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	5	11.3554	-0.0176	11.3528	3.3694
No log	2.0	10	6.6523	0.0	6.6501	2.5788
No log	3.0	15	3.8980	0.0040	3.8960	1.9738
No log	4.0	20	1.8681	0.0424	1.8665	1.3662
No log	5.0	25	0.9928	0.0	0.9915	0.9957
No log	6.0	30	0.9403	0.0943	0.9391	0.9690
No log	7.0	35	0.9271	0.1833	0.9259	0.9622
No log	8.0	40	1.0334	0.1164	1.0323	1.0160
No log	9.0	45	2.0593	0.0544	2.0577	1.4345
No log	10.0	50	0.8120	0.2608	0.8112	0.9007
No log	11.0	55	1.5141	0.0963	1.5125	1.2299
No log	12.0	60	1.0375	0.1903	1.0364	1.0180
No log	13.0	65	0.8695	0.2734	0.8687	0.9321
No log	14.0	70	1.1734	0.1281	1.1723	1.0827
No log	15.0	75	1.3933	0.1315	1.3919	1.1798
No log	16.0	80	0.9251	0.2923	0.9245	0.9615
No log	17.0	85	1.7059	0.0867	1.7046	1.3056
No log	18.0	90	1.0326	0.2197	1.0321	1.0159
No log	19.0	95	2.1164	0.0723	2.1149	1.4543
No log	20.0	100	0.9352	0.2321	0.9346	0.9667
No log	21.0	105	1.0534	0.1674	1.0525	1.0259
No log	22.0	110	1.4009	0.1558	1.3997	1.1831
No log	23.0	115	1.1869	0.1945	1.1860	1.0890
No log	24.0	120	1.3724	0.1173	1.3712	1.1710
No log	25.0	125	1.2744	0.1608	1.2731	1.1283
No log	26.0	130	1.3753	0.1593	1.3738	1.1721
No log	27.0	135	1.2563	0.1971	1.2550	1.1203
No log	28.0	140	1.2890	0.1685	1.2877	1.1348
No log	29.0	145	1.2650	0.1218	1.2636	1.1241
No log	30.0	150	1.4472	0.1669	1.4458	1.2024
No log	31.0	155	1.1764	0.1403	1.1750	1.0840
No log	32.0	160	1.1922	0.1675	1.1908	1.0912
No log	33.0	165	1.3896	0.1517	1.3880	1.1782
No log	34.0	170	1.5695	0.1608	1.5678	1.2521
No log	35.0	175	1.0876	0.1659	1.0863	1.0422
No log	36.0	180	1.6640	0.1232	1.6622	1.2893
No log	37.0	185	1.0493	0.1597	1.0483	1.0238
No log	38.0	190	1.7360	0.0912	1.7343	1.3169
No log	39.0	195	1.4555	0.1100	1.4539	1.2058
No log	40.0	200	1.2650	0.1420	1.2637	1.1241
No log	41.0	205	1.2878	0.1380	1.2863	1.1342
No log	42.0	210	1.2076	0.1248	1.2062	1.0983
No log	43.0	215	1.3127	0.1557	1.3112	1.1451
No log	44.0	220	1.2656	0.1544	1.2642	1.1244
No log	45.0	225	1.5188	0.0972	1.5171	1.2317
No log	46.0	230	1.3624	0.1344	1.3609	1.1666

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 27, 2025
Updated: Apr 27, 2025