Version2ASAP_FineTuningBERT_AugV8_k3_task1_organization_k3_k3_fold4

genki10/Version2ASAP_FineTuningBERT_AugV8_k3_task1_organization_k3_k3_fold4

Version2ASAP_FineTuningBERT_AugV8_k3_task1_organization_k3_k3_fold4 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 1, 2025
Updated: Mar 1, 2025
SHA: 5d6efebd

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Base models

Model card

From the Hugging Face model README

Version2ASAP_FineTuningBERT_AugV8_k3_task1_organization_k3_k3_fold4

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: 0.7413
Qwk: 0.5114
Mse: 0.7413
Rmse: 0.8610

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	3	11.5566	-0.0010	11.5566	3.3995
No log	2.0	6	8.9946	0.0018	8.9946	2.9991
No log	3.0	9	6.0953	0.0199	6.0953	2.4689
No log	4.0	12	3.5347	0.0079	3.5347	1.8801
No log	5.0	15	2.2545	0.1647	2.2545	1.5015
No log	6.0	18	1.5311	0.0316	1.5311	1.2374
No log	7.0	21	1.3616	0.0316	1.3616	1.1669
No log	8.0	24	1.3056	0.0445	1.3056	1.1426
No log	9.0	27	1.1551	0.0889	1.1551	1.0747
No log	10.0	30	1.1126	0.0993	1.1126	1.0548
No log	11.0	33	1.1280	0.1410	1.1280	1.0621
No log	12.0	36	0.9332	0.3666	0.9332	0.9660
No log	13.0	39	0.8266	0.3550	0.8266	0.9092
No log	14.0	42	0.7054	0.4208	0.7054	0.8399
No log	15.0	45	0.6353	0.5071	0.6353	0.7971
No log	16.0	48	0.9519	0.3156	0.9519	0.9757
No log	17.0	51	0.7087	0.4559	0.7087	0.8419
No log	18.0	54	0.6625	0.5065	0.6625	0.8140
No log	19.0	57	0.9306	0.3846	0.9306	0.9647
No log	20.0	60	0.6415	0.4840	0.6415	0.8009
No log	21.0	63	0.6797	0.5036	0.6797	0.8244
No log	22.0	66	0.8953	0.4632	0.8953	0.9462
No log	23.0	69	0.6310	0.5751	0.6310	0.7943
No log	24.0	72	0.7484	0.5068	0.7484	0.8651
No log	25.0	75	0.7197	0.4932	0.7197	0.8483
No log	26.0	78	0.8066	0.5049	0.8066	0.8981
No log	27.0	81	0.7381	0.5342	0.7381	0.8591
No log	28.0	84	1.1609	0.3811	1.1609	1.0775
No log	29.0	87	0.8437	0.5067	0.8437	0.9185
No log	30.0	90	0.7654	0.5103	0.7654	0.8749
No log	31.0	93	0.7367	0.5000	0.7367	0.8583
No log	32.0	96	0.8046	0.4979	0.8046	0.8970
No log	33.0	99	0.7534	0.5092	0.7534	0.8680
No log	34.0	102	0.7444	0.5359	0.7444	0.8628
No log	35.0	105	0.7334	0.5267	0.7334	0.8564
No log	36.0	108	0.8407	0.5160	0.8407	0.9169
No log	37.0	111	0.7572	0.5350	0.7572	0.8702
No log	38.0	114	0.8236	0.5154	0.8236	0.9075
No log	39.0	117	0.7242	0.5032	0.7242	0.8510
No log	40.0	120	0.7966	0.5099	0.7966	0.8925
No log	41.0	123	0.7406	0.5343	0.7406	0.8606
No log	42.0	126	0.8447	0.4856	0.8447	0.9191
No log	43.0	129	0.7413	0.5114	0.7413	0.8610

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 1, 2025
Updated: Mar 1, 2025