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KinyaBERT-large-finetuned-kintweetsC – AI Model by RogerB | AlphaNeural AI
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RogerB
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KinyaBERT-large-finetuned-kintweetsC
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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KinyaBERT-large-finetuned-kintweetsC
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: 4.4498
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
4.886
1.0
750
4.6242
4.5845
2.0
1500
4.4286
4.454
3.0
2250
4.4024
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
