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araT5-Base-with-IA3

This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5700
  • Bleu: 5.2733
  • Rouge: 0.2997
  • Gen Len: 14.2112

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: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 7

Training results

Training Loss Epoch Step Validation Loss Bleu Rouge Gen Len
8.4777 1.0 7500 4.1503 3.0695 0.2361 14.3284
5.3262 2.0 15000 3.8670 4.0626 0.2757 14.1688
5.0341 3.0 22500 3.7264 4.5492 0.2893 14.1428
4.879 4.0 30000 3.6486 4.945 0.2955 14.224
4.7908 5.0 37500 3.6025 5.1278 0.298 14.2372
4.7425 6.0 45000 3.5780 5.2779 0.2995 14.2132
4.7198 7.0 52500 3.5700 5.2733 0.2997 14.2112

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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