Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_fold3

genki10/Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_fold3

Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_fold3 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: ce434ebd

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Base models

Model card

From the Hugging Face model README

Trial3BERT_AugV8_k5_task1_organization_sp020_lw070_fold3

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: 1.0863
Qwk: 0.3036
Mse: 1.0863
Rmse: 1.0423

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	10.4783	0.0	10.4761	3.2367
No log	2.0	8	8.0952	0.0	8.0933	2.8449
No log	3.0	12	5.2443	0.0076	5.2430	2.2898
No log	4.0	16	3.5376	0.0	3.5366	1.8806
No log	5.0	20	2.2092	0.0707	2.2084	1.4861
No log	6.0	24	1.6908	0.0292	1.6901	1.3001
No log	7.0	28	1.3053	0.0202	1.3047	1.1423
No log	8.0	32	1.5538	0.0949	1.5530	1.2462
No log	9.0	36	1.1837	0.1268	1.1833	1.0878
No log	10.0	40	0.8456	0.3581	0.8457	0.9196
No log	11.0	44	0.8546	0.3869	0.8549	0.9246
No log	12.0	48	0.9096	0.3790	0.9099	0.9539
No log	13.0	52	0.6073	0.4392	0.6077	0.7795
No log	14.0	56	0.7803	0.4306	0.7806	0.8835
No log	15.0	60	0.8411	0.3973	0.8412	0.9172
No log	16.0	64	1.6284	0.2402	1.6282	1.2760
No log	17.0	68	0.6244	0.5251	0.6247	0.7904
No log	18.0	72	1.5398	0.2644	1.5397	1.2409
No log	19.0	76	0.6412	0.5043	0.6415	0.8009
No log	20.0	80	1.4352	0.2757	1.4354	1.1981
No log	21.0	84	0.9418	0.4129	0.9421	0.9706
No log	22.0	88	0.8161	0.3889	0.8162	0.9035
No log	23.0	92	1.2961	0.2864	1.2963	1.1385
No log	24.0	96	1.0398	0.3437	1.0401	1.0199
No log	25.0	100	0.9701	0.3987	0.9701	0.9850
No log	26.0	104	0.8937	0.4025	0.8939	0.9455
No log	27.0	108	1.0676	0.3304	1.0680	1.0334
No log	28.0	112	1.2506	0.2600	1.2507	1.1184
No log	29.0	116	0.8312	0.3912	0.8314	0.9118
No log	30.0	120	1.2361	0.2659	1.2361	1.1118
No log	31.0	124	0.8836	0.3679	0.8837	0.9401
No log	32.0	128	1.0863	0.3036	1.0863	1.0423

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