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Kuongan/
afro-xlmr-base-ptmz-MICRO-ptmz-noaug

Name: afro-xlmr-base-ptmz-MICRO-ptmz-noaug
Availability: InStock

generated_from_trainer

sercetexam9/afro-xlmr-base-ptmz-MICRO

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afro-xlmr-base-ptmz-MICRO-ptmz-noaug

This model is a fine-tuned version of sercetexam9/afro-xlmr-base-ptmz-MICRO on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1273
F1: 0.8294
Roc Auc: 0.8917
Accuracy: 0.8794

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
0.07	1.0	49	0.1591	0.8013	0.8650	0.8521
0.0707	2.0	98	0.1074	0.8015	0.8648	0.8560
0.0505	3.0	147	0.1142	0.7988	0.8712	0.8599
0.0285	4.0	196	0.1500	0.7867	0.8578	0.8366
0.0302	5.0	245	0.1382	0.8126	0.8834	0.8560
0.0299	6.0	294	0.1273	0.8294	0.8917	0.8794
0.0234	7.0	343	0.1404	0.7986	0.8735	0.8599
0.0134	8.0	392	0.1486	0.7983	0.8737	0.8521
0.0073	9.0	441	0.1571	0.7761	0.8731	0.8482
0.0094	10.0	490	0.1488	0.7942	0.8709	0.8521

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Kuongan/afro-xlmr-base-ptmz-MICRO-ptmz-noaug

afro-xlmr-base-ptmz-MICRO-ptmz-noaug

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kuongan/
afro-xlmr-base-ptmz-MICRO-ptmz-noaug