afrisenti-original-baseline – AI Model by lazymonster | AlphaNeural AI

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lazymonster/
afrisenti-original-baseline

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text-classification

generated_from_trainer

Davlan/afro-xlmr-small

text-embeddings-inference

endpoints_compatible

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afrisenti-original-baseline

This model is a fine-tuned version of Davlan/afro-xlmr-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6968
Accuracy: 0.7493
F1 Macro: 0.7250

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: 32
eval_batch_size: 32
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	Accuracy	F1 Macro
No log	1.0	267	0.7159	0.6923	0.6521
0.8153	2.0	534	0.6561	0.7287	0.6827
0.8153	3.0	801	0.6376	0.7483	0.7247
0.536	4.0	1068	0.6684	0.7493	0.7270
0.536	5.0	1335	0.6968	0.7493	0.7250

Framework versions

Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.21.2