Version2ASAP_FineTuningBERT_AugV5_k5_task1_organization_k5_k5_fold3

genki10/Version2ASAP_FineTuningBERT_AugV5_k5_task1_organization_k5_k5_fold3

Version2ASAP_FineTuningBERT_AugV5_k5_task1_organization_k5_k5_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: Feb 27, 2025
Updated: Feb 27, 2025
SHA: 5d34805b

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Base models

Model card

From the Hugging Face model README

Version2ASAP_FineTuningBERT_AugV5_k5_task1_organization_k5_k5_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: 0.7068
Qwk: 0.5291
Mse: 0.7072
Rmse: 0.8409

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	8	7.3080	0.0	7.3064	2.7030
No log	2.0	16	3.1795	0.0	3.1785	1.7828
No log	3.0	24	1.6999	0.0102	1.6991	1.3035
No log	4.0	32	2.9989	0.0	2.9979	1.7314
No log	5.0	40	0.9435	0.1468	0.9431	0.9711
No log	6.0	48	1.6640	0.0202	1.6635	1.2898
No log	7.0	56	1.4522	0.0412	1.4519	1.2049
No log	8.0	64	0.6436	0.4081	0.6439	0.8024
No log	9.0	72	0.6569	0.4555	0.6572	0.8107
No log	10.0	80	0.5918	0.5018	0.5921	0.7695
No log	11.0	88	0.7587	0.5209	0.7593	0.8714
No log	12.0	96	0.8343	0.5287	0.8350	0.9138
No log	13.0	104	0.8683	0.4909	0.8688	0.9321
No log	14.0	112	1.2457	0.3694	1.2461	1.1163
No log	15.0	120	0.9502	0.4299	0.9507	0.9751
No log	16.0	128	0.8187	0.5423	0.8193	0.9051
No log	17.0	136	0.7241	0.5300	0.7244	0.8511
No log	18.0	144	0.7938	0.5524	0.7943	0.8912
No log	19.0	152	0.7825	0.5378	0.7829	0.8848
No log	20.0	160	0.7045	0.5499	0.7049	0.8396
No log	21.0	168	0.7697	0.5147	0.7700	0.8775
No log	22.0	176	0.7239	0.5443	0.7242	0.8510
No log	23.0	184	0.8335	0.4954	0.8338	0.9131
No log	24.0	192	0.6962	0.5439	0.6966	0.8346
No log	25.0	200	0.7817	0.5141	0.7822	0.8844
No log	26.0	208	0.9033	0.4825	0.9038	0.9507
No log	27.0	216	0.8237	0.5137	0.8242	0.9079
No log	28.0	224	0.7239	0.5429	0.7243	0.8511
No log	29.0	232	0.6765	0.5466	0.6768	0.8227
No log	30.0	240	0.6745	0.5357	0.6747	0.8214
No log	31.0	248	0.7496	0.5197	0.7500	0.8660
No log	32.0	256	0.6991	0.5375	0.6995	0.8363
No log	33.0	264	0.6806	0.5413	0.6809	0.8251
No log	34.0	272	0.7099	0.5348	0.7103	0.8428
No log	35.0	280	0.7298	0.5392	0.7302	0.8545
No log	36.0	288	0.6558	0.5407	0.6560	0.8099
No log	37.0	296	0.7311	0.5282	0.7314	0.8552
No log	38.0	304	0.7068	0.5291	0.7072	0.8409

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: Feb 27, 2025
Updated: Feb 27, 2025