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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