afro-xlmr-base-hausa-seed-30 – AI Model by grace-pro | AlphaNeural AI

You can deploy this model and start earning money today!

grace-pro/
afro-xlmr-base-hausa-seed-30

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

afro-xlmr-base-hausa-seed-30

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: 0.1635
Precision: 0.7407
Recall: 0.5630
F1: 0.6398
Accuracy: 0.9599

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: 5e-05
train_batch_size: 16
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
0.1599	1.0	1312	0.1431	0.7178	0.4516	0.5544	0.9536
0.1198	2.0	2624	0.1364	0.7155	0.5470	0.6200	0.9581
0.0932	3.0	3936	0.1381	0.7165	0.5708	0.6354	0.9588
0.0705	4.0	5248	0.1564	0.7529	0.5461	0.6330	0.9600
0.0559	5.0	6560	0.1635	0.7407	0.5630	0.6398	0.9599

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3