alephbertgimmel_parashoot – AI Model by imvladikon | AlphaNeural AI

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imvladikon/
alephbertgimmel_parashoot

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imvladikon/parashoot

imvladikon/alephbertgimmel-base-512

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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