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afriberta-om-flores – AI Model by Bonnief | AlphaNeural AI

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Bonnief/
afriberta-om-flores

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generated_from_trainer

castorini/afriberta_small

autotrain_compatible

endpoints_compatible

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afriberta-om-flores

This model is a fine-tuned version of castorini/afriberta_small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.6838
Accuracy: 0.3806

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
lr_scheduler_warmup_steps: 20
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.53.0.dev0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1