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imvladikon
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alephbertgimmel_parashoot

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alephbertgimmel_parashoot

This model is a fine-tuned version of imvladikon/alephbertgimmel-base-512 on the imvladikon/parashoot dataset.

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results 

***** predict metrics *****
  predict_samples         =       1102
  test_exact_match        =    27.7073
  test_f1                 =     51.787
  test_runtime            = 0:00:32.05
  test_samples_per_second =     34.383
  test_steps_per_second   =      4.306

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.2
  • Tokenizers 0.13.3
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