RogerB / afriberta_large-finetuned-kintweetsC

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: -1
Model's Last Updated: July 08 2023
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Introduction of afriberta_large-finetuned-kintweetsC

Model Details of afriberta_large-finetuned-kintweetsC

afriberta_large-finetuned-kintweetsC

This model is a fine-tuned version of castorini/afriberta_large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9358
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
4.3534 1.0 900 4.0667
4.0818 2.0 1800 3.9280
3.9884 3.0 2700 3.9982
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of RogerB afriberta_large-finetuned-kintweetsC 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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