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Kuongan/
CS221-xlm-roberta-base-hin-finetuned-finetuned-hin-tapt

Name: CS221-xlm-roberta-base-hin-finetuned-finetuned-hin-tapt
Availability: InStock

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Kuongan/xlm-roberta-base-hin-finetuned

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CS221-xlm-roberta-base-hin-finetuned-finetuned-hin-tapt

This model is a fine-tuned version of Kuongan/xlm-roberta-base-hin-finetuned on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0547
F1: 0.9607
Roc Auc: 0.9744
Accuracy: 0.9513

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: 32
eval_batch_size: 32
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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.1122	1.0	266	0.0941	0.8963	0.9342	0.8612
0.0848	2.0	532	0.0822	0.9046	0.9376	0.8722
0.0773	3.0	798	0.0743	0.9109	0.9447	0.8789
0.0661	4.0	1064	0.0593	0.9389	0.9599	0.9160
0.0353	5.0	1330	0.0608	0.9335	0.9534	0.9130
0.0328	6.0	1596	0.0598	0.9404	0.9576	0.9191
0.0189	7.0	1862	0.0516	0.9506	0.9660	0.9367
0.021	8.0	2128	0.0548	0.9528	0.9697	0.9410
0.0143	9.0	2394	0.0579	0.9495	0.9717	0.9343
0.0084	10.0	2660	0.0554	0.9552	0.9713	0.9434
0.0066	11.0	2926	0.0567	0.9528	0.9725	0.9391
0.0048	12.0	3192	0.0539	0.9585	0.9757	0.9458
0.0039	13.0	3458	0.0549	0.9602	0.9747	0.9513
0.002	14.0	3724	0.0540	0.9606	0.9730	0.9495
0.0023	15.0	3990	0.0555	0.9602	0.9731	0.9495
0.0014	16.0	4256	0.0551	0.9596	0.9736	0.9477
0.0013	17.0	4522	0.0547	0.9607	0.9744	0.9513
0.0022	18.0	4788	0.0551	0.9599	0.9744	0.9489
0.0013	19.0	5054	0.0550	0.9592	0.9737	0.9483
0.0013	20.0	5320	0.0552	0.9599	0.9741	0.9489

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Kuongan/CS221-xlm-roberta-base-hin-finetuned-finetuned-hin-tapt

CS221-xlm-roberta-base-hin-finetuned-finetuned-hin-tapt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kuongan/
CS221-xlm-roberta-base-hin-finetuned-finetuned-hin-tapt