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afriberta-ti-finetuned – AI Model by Bonnief | AlphaNeural AI
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Bonnief
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afriberta-ti-finetuned
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transformers
tensorboard
safetensors
xlm-roberta
fill-mask
generated_from_trainer
castorini/afriberta_small
finetune
autotrain_compatible
endpoints_compatible
us
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afriberta-ti-finetuned
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: nan
Accuracy: 0.4430
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: 4
total_train_batch_size: 16
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: 1000
training_steps: 100000
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1
