afro-xlmr-base-afr-finetuned-augmentation-LUNAR – AI Model by sercetexam9 | AlphaNeural AI

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sercetexam9/
afro-xlmr-base-afr-finetuned-augmentation-LUNAR

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text-classification

generated_from_trainer

Davlan/afro-xlmr-base

autotrain_compatible

endpoints_compatible

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afro-xlmr-base-afr-finetuned-augmentation-LUNAR

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

Loss: 0.2755
F1: 0.5012
Roc Auc: 0.6931
Accuracy: 0.6908

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.4289	1.0	76	0.3283	0.0	0.5	0.3520
0.3509	2.0	152	0.3160	0.1005	0.5277	0.4836
0.2864	3.0	228	0.2631	0.2532	0.5927	0.5855
0.2383	4.0	304	0.2411	0.2210	0.5799	0.5559
0.1902	5.0	380	0.2632	0.2619	0.5909	0.5921
0.1545	6.0	456	0.2466	0.3297	0.6281	0.6612
0.1408	7.0	532	0.2407	0.3469	0.6253	0.6447
0.1087	8.0	608	0.2463	0.3989	0.6645	0.6809
0.0743	9.0	684	0.2497	0.4086	0.6561	0.6711
0.0832	10.0	760	0.2581	0.4063	0.6516	0.6908
0.0599	11.0	836	0.2583	0.4992	0.6911	0.7007
0.0553	12.0	912	0.2755	0.5012	0.6931	0.6908
0.0497	13.0	988	0.2741	0.4253	0.6688	0.6809
0.029	14.0	1064	0.2864	0.4033	0.6529	0.6776
0.0349	15.0	1140	0.3034	0.4742	0.6808	0.6776
0.0249	16.0	1216	0.2889	0.4089	0.6608	0.6678

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0