RogerB / KinyaBERT-large-kinyarwanda-finetuned

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: -1
Model's Last Updated: September 28 2023
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Introduction of KinyaBERT-large-kinyarwanda-finetuned

Model Details of KinyaBERT-large-kinyarwanda-finetuned

KinyaBERT-large-kinyarwanda-finetuned

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: 2.7404
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
3.186 1.0 5500 2.8702
2.9377 2.0 11000 2.8073
2.845 3.0 16500 2.7544
Framework versions
  • Transformers 4.33.3
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Runs of RogerB KinyaBERT-large-kinyarwanda-finetuned on huggingface.co

7
Total runs
0
24-hour runs
1
3-day runs
-1
7-day runs
-1
30-day runs

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