Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold0

genki10/Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_fold0

Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_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 10, 2025
Updated: Mar 11, 2025
SHA: d51f286f

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Base models

Model card

From the Hugging Face model README

Version12LowDevASAP_FineTuningBERT_AugV12_k5_task1_organization_k5_k5_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: 0.3823
Qwk: 0.6886
Mse: 0.3823
Rmse: 0.6183

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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	2	11.4549	-0.0031	11.4549	3.3845
No log	2.0	4	8.3320	0.0	8.3320	2.8865
No log	3.0	6	6.6370	0.0036	6.6370	2.5762
No log	4.0	8	5.1520	0.0098	5.1520	2.2698
No log	5.0	10	3.8513	0.0	3.8513	1.9625
No log	6.0	12	3.0155	0.0	3.0155	1.7365
No log	7.0	14	2.3770	0.1182	2.3770	1.5418
No log	8.0	16	1.8188	0.0326	1.8188	1.3486
No log	9.0	18	1.3495	0.0	1.3495	1.1617
No log	10.0	20	1.0110	0.0	1.0110	1.0055
No log	11.0	22	0.8194	0.0501	0.8194	0.9052
No log	12.0	24	0.6868	0.2194	0.6868	0.8287
No log	13.0	26	0.6377	0.0581	0.6377	0.7986
No log	14.0	28	0.6155	0.0829	0.6155	0.7845
No log	15.0	30	0.4799	0.3501	0.4799	0.6927
No log	16.0	32	0.4763	0.2788	0.4763	0.6901
No log	17.0	34	0.4497	0.3840	0.4497	0.6706
No log	18.0	36	0.4263	0.5718	0.4263	0.6529
No log	19.0	38	0.4527	0.6406	0.4527	0.6728
No log	20.0	40	0.4476	0.6341	0.4476	0.6690
No log	21.0	42	0.4871	0.6627	0.4871	0.6979
No log	22.0	44	0.5443	0.6628	0.5443	0.7378
No log	23.0	46	0.4836	0.7077	0.4836	0.6954
No log	24.0	48	0.4417	0.7051	0.4417	0.6646
No log	25.0	50	0.6102	0.6565	0.6102	0.7812
No log	26.0	52	0.3849	0.7030	0.3849	0.6204
No log	27.0	54	0.5711	0.6509	0.5711	0.7557
No log	28.0	56	0.4055	0.6649	0.4055	0.6368
No log	29.0	58	0.4013	0.6717	0.4013	0.6334
No log	30.0	60	0.4000	0.6772	0.4000	0.6324
No log	31.0	62	0.5189	0.6181	0.5189	0.7203
No log	32.0	64	0.4243	0.6388	0.4243	0.6514
No log	33.0	66	0.4375	0.6491	0.4375	0.6615
No log	34.0	68	0.4257	0.6620	0.4257	0.6524
No log	35.0	70	0.4203	0.6311	0.4203	0.6483
No log	36.0	72	0.4006	0.6757	0.4006	0.6330
No log	37.0	74	0.5466	0.6275	0.5466	0.7393
No log	38.0	76	0.4116	0.6963	0.4116	0.6415
No log	39.0	78	0.5920	0.6176	0.5920	0.7694
No log	40.0	80	0.4311	0.6618	0.4311	0.6565
No log	41.0	82	0.5475	0.6298	0.5475	0.7399
No log	42.0	84	0.6386	0.6216	0.6386	0.7991
No log	43.0	86	0.3823	0.6886	0.3823	0.6183

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 10, 2025
Updated: Mar 11, 2025