Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_fold1

genki10/Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_fold1

Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_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 8, 2025
Updated: Apr 8, 2025
SHA: 259d885b

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Base models

Model card

From the Hugging Face model README

Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_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: 0.9408
Qwk: 0.2942
Mse: 0.9392
Rmse: 0.9691

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	5	8.5504	0.0	8.5479	2.9237
No log	2.0	10	4.3840	0.0219	4.3825	2.0935
No log	3.0	15	2.2313	0.0511	2.2301	1.4934
No log	4.0	20	1.1876	0.0106	1.1862	1.0891
No log	5.0	25	1.9021	0.0262	1.9008	1.3787
No log	6.0	30	0.7574	0.4349	0.7562	0.8696
No log	7.0	35	0.8567	0.2389	0.8554	0.9249
No log	8.0	40	0.7560	0.2774	0.7549	0.8689
No log	9.0	45	1.3438	-0.0399	1.3423	1.1586
No log	10.0	50	0.6222	0.4238	0.6212	0.7881
No log	11.0	55	0.7637	0.3092	0.7629	0.8734
No log	12.0	60	0.8901	0.2827	0.8893	0.9430
No log	13.0	65	0.8355	0.3343	0.8344	0.9135
No log	14.0	70	0.8186	0.3896	0.8177	0.9043
No log	15.0	75	0.7910	0.4126	0.7899	0.8888
No log	16.0	80	0.7217	0.4780	0.7209	0.8490
No log	17.0	85	1.5689	0.1341	1.5674	1.2519
No log	18.0	90	0.7177	0.5098	0.7172	0.8468
No log	19.0	95	1.2732	0.2080	1.2719	1.1278
No log	20.0	100	0.8641	0.3064	0.8632	0.9291
No log	21.0	105	0.9576	0.2750	0.9567	0.9781
No log	22.0	110	0.7786	0.4171	0.7777	0.8819
No log	23.0	115	1.2528	0.1527	1.2515	1.1187
No log	24.0	120	0.8117	0.4435	0.8110	0.9006
No log	25.0	125	1.1962	0.2824	1.1948	1.0931
No log	26.0	130	0.9990	0.2532	0.9978	0.9989
No log	27.0	135	0.8951	0.3455	0.8937	0.9454
No log	28.0	140	1.1315	0.2582	1.1300	1.0630
No log	29.0	145	0.8344	0.3436	0.8331	0.9127
No log	30.0	150	1.0623	0.2426	1.0608	1.0300
No log	31.0	155	1.0659	0.1929	1.0645	1.0317
No log	32.0	160	0.8990	0.3302	0.8975	0.9474
No log	33.0	165	0.9408	0.2942	0.9392	0.9691

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: Apr 8, 2025
Updated: Apr 8, 2025