afro-xlmr-mini-finetuned-hausa – AI Model by grace-pro | AlphaNeural AI

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grace-pro/
afro-xlmr-mini-finetuned-hausa

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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afro-xlmr-mini-finetuned-hausa

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

Loss: 0.1501
Precision: 0.6859
Recall: 0.4724
F1: 0.5594
Accuracy: 0.9527

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1925	1.0	2624	0.1785	0.5860	0.3614	0.4470	0.9429
0.1674	2.0	5248	0.1608	0.6530	0.4409	0.5264	0.9486
0.1482	3.0	7872	0.1561	0.6909	0.4396	0.5373	0.9513
0.1439	4.0	10496	0.1493	0.6775	0.4678	0.5534	0.9520
0.1351	5.0	13120	0.1501	0.6859	0.4724	0.5594	0.9527

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3