afriberta-large-finetuned-hausa-2e-4 – AI Model by grace-pro | AlphaNeural AI

You can deploy this model and start earning money today!

grace-pro/
afriberta-large-finetuned-hausa-2e-4

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

afriberta-large-finetuned-hausa-2e-4

This model is a fine-tuned version of castorini/afriberta_large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1932
Precision: 0.6526
Recall: 0.4876
F1: 0.5582
Accuracy: 0.9598

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: 0.0002
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
0.1621	1.0	1312	0.1475	0.6104	0.3726	0.4628	0.9544
0.1293	2.0	2624	0.1408	0.6209	0.4396	0.5148	0.9568
0.0954	3.0	3936	0.1479	0.6442	0.4594	0.5363	0.9584
0.0621	4.0	5248	0.1717	0.6615	0.4769	0.5542	0.9599
0.0372	5.0	6560	0.1932	0.6526	0.4876	0.5582	0.9598

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3