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KinyaBERT-large-finetuned-kintweetsD – AI Model by RogerB | AlphaNeural AI
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RogerB
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KinyaBERT-large-finetuned-kintweetsD
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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KinyaBERT-large-finetuned-kintweetsD
This model is a fine-tuned version of
jean-paul/KinyaBERT-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.9089
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
4.3565
1.0
900
4.0079
4.0632
2.0
1800
3.9009
3.9506
3.0
2700
3.8635
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
