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rinna-AraBert-qa-ar3

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the arcd dataset. It achieves the following results on the evaluation set:

  • Loss: 3.7678

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: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss
3.0074 6.88 150 3.1727
1.3286 13.75 300 3.2007
0.7605 20.63 450 3.5414
0.5722 27.51 600 3.7678

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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Finetuned from

Dataset used to train Echiguerkh/rinna-AraBert-qa-ar3