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

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sercetexam9/
afro-xlmr-base-finetuned-augmentation

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text-classification

generated_from_trainer

Davlan/afro-xlmr-base

autotrain_compatible

endpoints_compatible

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afro-xlmr-base-finetuned-augmentation

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: 0.3150
F1: 0.4562
Roc Auc: 0.6873
Accuracy: 0.5316

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
0.3329	1.0	198	0.3191	0.0	0.5	0.3939
0.2856	2.0	396	0.2775	0.2481	0.6027	0.4874
0.255	3.0	594	0.2676	0.2843	0.6146	0.5076
0.2259	4.0	792	0.2701	0.3125	0.6277	0.5227
0.1698	5.0	990	0.2734	0.3600	0.6396	0.5303
0.1543	6.0	1188	0.2924	0.3801	0.6487	0.5278
0.1171	7.0	1386	0.2982	0.3969	0.6589	0.5379
0.1093	8.0	1584	0.3115	0.4478	0.6848	0.5202
0.0934	9.0	1782	0.3150	0.4562	0.6873	0.5316
0.0791	10.0	1980	0.3377	0.4285	0.6796	0.5189
0.0594	11.0	2178	0.3463	0.4420	0.6746	0.5379
0.0571	12.0	2376	0.3617	0.4504	0.6866	0.5366
0.0412	13.0	2574	0.3723	0.4357	0.6780	0.5328

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0