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afriberta_base-kinyarwanda-finetuned – AI Model by RogerB | AlphaNeural AI
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RogerB
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afriberta_base-kinyarwanda-finetuned
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transformers
pytorch
xlm-roberta
fill-mask
generated_from_trainer
castorini/afriberta_base
finetune
autotrain_compatible
endpoints_compatible
us
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afriberta_base-kinyarwanda-finetuned
This model is a fine-tuned version of
castorini/afriberta_base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.5906
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
3.1683
1.0
5000
2.7855
2.8371
2.0
10000
2.6643
2.7277
3.0
15000
2.5899
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
