Trial2BERT_AugV8_k5_task1_organization_sp010_lw020_fold2

genki10/Trial2BERT_AugV8_k5_task1_organization_sp010_lw020_fold2

Trial2BERT_AugV8_k5_task1_organization_sp010_lw020_fold2 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 5, 2025
Updated: Apr 5, 2025
SHA: 14fc49d1

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Base models

Model card

From the Hugging Face model README

Trial2BERT_AugV8_k5_task1_organization_sp010_lw020_fold2

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: 0.7310
Qwk: 0.4236
Mse: 0.7312
Rmse: 0.8551

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	4	8.3136	0.0	8.3139	2.8834
No log	2.0	8	5.7355	0.0579	5.7358	2.3950
No log	3.0	12	3.9772	0.0	3.9776	1.9944
No log	4.0	16	2.4828	0.0529	2.4832	1.5758
No log	5.0	20	1.5858	0.0107	1.5863	1.2595
No log	6.0	24	1.0688	0.0	1.0692	1.0340
No log	7.0	28	0.9163	0.0280	0.9166	0.9574
No log	8.0	32	0.7049	0.4826	0.7052	0.8397
No log	9.0	36	0.8530	0.5049	0.8530	0.9236
No log	10.0	40	1.6007	0.2216	1.6009	1.2653
No log	11.0	44	0.6737	0.4761	0.6740	0.8210
No log	12.0	48	1.3529	0.2193	1.3532	1.1633
No log	13.0	52	0.8757	0.3612	0.8759	0.9359
No log	14.0	56	0.6701	0.4876	0.6703	0.8187
No log	15.0	60	0.9094	0.3926	0.9096	0.9537
No log	16.0	64	0.6332	0.5055	0.6333	0.7958
No log	17.0	68	0.5291	0.4947	0.5293	0.7275
No log	18.0	72	0.7659	0.4439	0.7661	0.8753
No log	19.0	76	0.6025	0.5005	0.6026	0.7763
No log	20.0	80	0.6345	0.4708	0.6346	0.7966
No log	21.0	84	1.0801	0.3471	1.0803	1.0394
No log	22.0	88	0.7685	0.4566	0.7687	0.8768
No log	23.0	92	0.6421	0.4709	0.6424	0.8015
No log	24.0	96	0.8293	0.3125	0.8296	0.9108
No log	25.0	100	1.2529	0.2719	1.2531	1.1194
No log	26.0	104	0.6886	0.4679	0.6888	0.8299
No log	27.0	108	0.9903	0.3509	0.9905	0.9953
No log	28.0	112	0.9552	0.3256	0.9555	0.9775
No log	29.0	116	0.6093	0.4881	0.6094	0.7807
No log	30.0	120	0.9918	0.3255	0.9921	0.9960
No log	31.0	124	0.7310	0.4236	0.7312	0.8551

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 5, 2025
Updated: Apr 5, 2025