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urdu-mt0-summarization

This model is a fine-tuned version of bigscience/mt0-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 23.8342

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • 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
23.5822 1.0 16917 23.8346
23.5515 2.0 33834 23.8346
23.505 3.0 50751 23.8342

Framework versions

  • Transformers 4.27.2
  • Pytorch 1.13.1+cu117
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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