BERT_AugV8_k5_task1_organization_sp020_lw040_fold0

genki10/BERT_AugV8_k5_task1_organization_sp020_lw040_fold0

BERT_AugV8_k5_task1_organization_sp020_lw040_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: Mar 25, 2025
SHA: 8e5bd093

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Base models

Model card

From the Hugging Face model README

BERT_AugV8_k5_task1_organization_sp020_lw040_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: 0.7142
Qwk: 0.4331
Mse: 0.7142
Rmse: 0.8451

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	7.4617	0.0	7.4617	2.7316
No log	2.0	8	5.6687	0.0160	5.6687	2.3809
No log	3.0	12	3.9172	0.0039	3.9172	1.9792
No log	4.0	16	2.3123	0.1258	2.3123	1.5206
No log	5.0	20	1.4115	0.0316	1.4115	1.1881
No log	6.0	24	1.0572	0.0316	1.0572	1.0282
No log	7.0	28	1.1625	0.0382	1.1625	1.0782
No log	8.0	32	0.9941	0.0574	0.9941	0.9970
No log	9.0	36	0.7446	0.3803	0.7446	0.8629
No log	10.0	40	0.8554	0.3379	0.8554	0.9249
No log	11.0	44	0.6784	0.4779	0.6784	0.8237
No log	12.0	48	0.5995	0.4484	0.5995	0.7743
No log	13.0	52	0.6362	0.4687	0.6362	0.7976
No log	14.0	56	0.6394	0.5151	0.6394	0.7996
No log	15.0	60	0.6814	0.3491	0.6814	0.8255
No log	16.0	64	0.6985	0.3542	0.6985	0.8358
No log	17.0	68	0.7375	0.3795	0.7375	0.8588
No log	18.0	72	0.7648	0.3352	0.7648	0.8746
No log	19.0	76	0.6754	0.4145	0.6754	0.8218
No log	20.0	80	0.9912	0.2284	0.9912	0.9956
No log	21.0	84	0.8606	0.3257	0.8606	0.9277
No log	22.0	88	0.8224	0.3512	0.8224	0.9069
No log	23.0	92	0.8499	0.3544	0.8499	0.9219
No log	24.0	96	0.9352	0.2531	0.9352	0.9670
No log	25.0	100	1.0167	0.2249	1.0167	1.0083
No log	26.0	104	0.6790	0.4468	0.6790	0.8240
No log	27.0	108	0.9596	0.2764	0.9596	0.9796
No log	28.0	112	1.0808	0.2454	1.0808	1.0396
No log	29.0	116	0.7142	0.4331	0.7142	0.8451

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: Mar 25, 2025