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afriberta_large-pretrained-kinyarwanda – AI Model by RogerB | AlphaNeural AI
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RogerB
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afriberta_large-pretrained-kinyarwanda
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transformers
pytorch
xlm-roberta
fill-mask
generated_from_trainer
castorini/afriberta_large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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afriberta_large-pretrained-kinyarwanda
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: 2.5757
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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.096
1.0
3000
2.7801
2.7866
2.0
6000
2.6100
2.6923
3.0
9000
2.5453
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
