amharic-news-model – AI Model by Abelex | AlphaNeural AI

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Abelex/
amharic-news-model

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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amharic-news-model

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1030
Accuracy: 0.7938
Macro Precision: 0.7863
Macro Recall: 0.7621
Macro F1: 0.7704

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: 1
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro Precision	Macro Recall	Macro F1
0.9303	1.0	451	0.6758	0.7732	0.7571	0.7571	0.7571
0.907	2.0	902	0.8922	0.8041	0.7908	0.7873	0.7890
0.6074	3.0	1353	1.2265	0.7629	0.7697	0.7090	0.7199
0.3266	4.0	1804	1.2719	0.7938	0.8071	0.7450	0.7587
0.1429	5.0	2255	1.2891	0.8041	0.8158	0.7589	0.7728

Framework versions

Transformers 4.45.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.20.3