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qa-persian-xlmr-large

This model is a fine-tuned version of makhataei/qa-persian-xlmr-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.0366

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: 5e-06
  • train_batch_size: 14
  • eval_batch_size: 14
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
2.0175 1.0 202 1.5773
1.17 2.0 404 1.7608
0.6861 3.0 606 2.2780
0.4457 4.0 808 2.8859
0.2626 5.0 1010 3.9207
0.1862 6.0 1212 4.6119
0.1264 7.0 1414 4.8694
0.0786 8.0 1616 4.8824
0.0566 9.0 1818 4.9686
0.0571 10.0 2020 5.0366

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Model size
559M params
Tensor type
F32
Inference API
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Finetuned from