Trial3BERT_AugV8_k1_task1_organization_sp010_lw020_fold0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp010_lw020_fold0

Trial3BERT_AugV8_k1_task1_organization_sp010_lw020_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: Apr 7, 2025
Updated: Apr 7, 2025
SHA: aab1881d

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Base models

Model card

From the Hugging Face model README

Trial3BERT_AugV8_k1_task1_organization_sp010_lw020_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: 0.8664
Qwk: 0.4180
Mse: 0.8664
Rmse: 0.9308

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	2	12.0331	-0.0003	12.0331	3.4689
No log	2.0	4	11.2356	0.0080	11.2356	3.3520
No log	3.0	6	10.1432	0.0054	10.1432	3.1848
No log	4.0	8	8.4567	0.0054	8.4567	2.9080
No log	5.0	10	7.0816	0.0036	7.0816	2.6611
No log	6.0	12	6.2865	0.0135	6.2865	2.5073
No log	7.0	14	5.4170	0.0344	5.4170	2.3274
No log	8.0	16	4.2049	0.0092	4.2049	2.0506
No log	9.0	18	3.9845	0.0150	3.9845	1.9961
No log	10.0	20	3.6639	0.0163	3.6639	1.9141
No log	11.0	22	2.4736	0.0925	2.4736	1.5728
No log	12.0	24	2.6746	0.0243	2.6746	1.6354
No log	13.0	26	2.4237	0.1240	2.4237	1.5568
No log	14.0	28	1.7360	0.1133	1.7360	1.3176
No log	15.0	30	1.1849	0.0549	1.1849	1.0885
No log	16.0	32	1.2522	0.0486	1.2522	1.1190
No log	17.0	34	0.9717	0.1476	0.9717	0.9857
No log	18.0	36	0.8051	0.3018	0.8051	0.8973
No log	19.0	38	0.8758	0.2966	0.8758	0.9358
No log	20.0	40	0.9816	0.2863	0.9816	0.9907
No log	21.0	42	1.2222	0.2448	1.2222	1.1055
No log	22.0	44	1.4556	0.2621	1.4556	1.2065
No log	23.0	46	1.0261	0.3659	1.0261	1.0130
No log	24.0	48	0.7193	0.4826	0.7193	0.8481
No log	25.0	50	0.9620	0.3843	0.9620	0.9808
No log	26.0	52	1.0100	0.3598	1.0100	1.0050
No log	27.0	54	0.8127	0.3974	0.8127	0.9015
No log	28.0	56	1.0633	0.3416	1.0633	1.0311
No log	29.0	58	0.9272	0.3524	0.9272	0.9629
No log	30.0	60	0.5933	0.4620	0.5933	0.7703
No log	31.0	62	0.6173	0.4644	0.6173	0.7857
No log	32.0	64	0.9459	0.3704	0.9459	0.9726
No log	33.0	66	0.8830	0.3899	0.8830	0.9397
No log	34.0	68	0.6675	0.4893	0.6675	0.8170
No log	35.0	70	0.7625	0.4833	0.7625	0.8732
No log	36.0	72	0.6142	0.5059	0.6142	0.7837
No log	37.0	74	0.8453	0.3900	0.8453	0.9194
No log	38.0	76	0.6713	0.5110	0.6713	0.8193
No log	39.0	78	0.9829	0.4004	0.9829	0.9914
No log	40.0	80	1.1111	0.3859	1.1111	1.0541
No log	41.0	82	0.8389	0.4558	0.8389	0.9159
No log	42.0	84	0.8780	0.4195	0.8780	0.9370
No log	43.0	86	1.5851	0.2276	1.5851	1.2590
No log	44.0	88	1.6786	0.2108	1.6786	1.2956
No log	45.0	90	1.3681	0.2792	1.3681	1.1697
No log	46.0	92	0.8597	0.4265	0.8597	0.9272
No log	47.0	94	0.7624	0.4613	0.7624	0.8732
No log	48.0	96	0.9132	0.3843	0.9132	0.9556
No log	49.0	98	0.9321	0.3661	0.9321	0.9655
No log	50.0	100	0.8131	0.4447	0.8131	0.9017
No log	51.0	102	0.7383	0.4726	0.7383	0.8592
No log	52.0	104	0.7815	0.4490	0.7815	0.8840
No log	53.0	106	0.8664	0.4180	0.8664	0.9308

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 7, 2025
Updated: Apr 7, 2025