afri-berta-tigrigna – AI Model by Elu-dan | AlphaNeural AI

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Elu-dan/
afri-berta-tigrigna

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token-classification

generated_from_trainer

castorini/afriberta_base

autotrain_compatible

endpoints_compatible

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afri-berta-tigrigna

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

Loss: 0.1654
Precision: 0.7259
Recall: 0.7586
F1: 0.7419
Accuracy: 0.9538

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1746	1.0	286	0.1831	0.6558	0.6617	0.6587	0.9408
0.1317	2.0	572	0.1671	0.6651	0.7194	0.6912	0.9445
0.1011	3.0	858	0.1604	0.7133	0.7254	0.7193	0.9507
0.0833	4.0	1144	0.1679	0.7046	0.7572	0.7300	0.9514
0.059	5.0	1430	0.1681	0.7185	0.7592	0.7383	0.9528

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1