RogerB / KinyaBERT-large-finetuned-kintweetsB

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 7
Model's Last Updated: July 06 2023
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Introduction of KinyaBERT-large-finetuned-kintweetsB

Model Details of KinyaBERT-large-finetuned-kintweetsB

KinyaBERT-large-finetuned-kintweetsB

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: 3.8686
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
4.35 1.0 900 3.9864
4.0329 2.0 1800 3.8875
3.9151 3.0 2700 3.8236
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

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

8
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
7
30-day runs

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