afri-berta-large-NER-Afan-oromo – AI Model by Elu-dan | AlphaNeural AI

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Elu-dan/
afri-berta-large-NER-Afan-oromo

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token-classification

generated_from_trainer

castorini/afriberta_large

autotrain_compatible

endpoints_compatible

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afri-berta-large-NER-afan-oromo

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: 0.1878
Precision: 0.6675
Recall: 0.7806
F1: 0.7196
Accuracy: 0.9409

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
0.365	1.0	76	0.3389	0.4951	0.4968	0.4959	0.8918
0.2196	2.0	152	0.2602	0.5691	0.6688	0.6149	0.9163
0.1817	3.0	228	0.2390	0.5895	0.6948	0.6379	0.9265
0.1491	4.0	304	0.2393	0.6141	0.7078	0.6576	0.9278
0.1091	5.0	380	0.2364	0.5978	0.6948	0.6426	0.9261

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1