Plainly Optimized Network

Dataset: BIGBENCH

Trainer Hyperparameters:

  • lr = 5e-05
  • per_device_batch_size = 8
  • gradient_accumulation_steps = 2
  • weight_decay = 0.0
  • seed = 42
eval_loss eval_accuracy epoch
10.410 0.571 1.0
10.191 0.571 2.0
9.468 0.643 3.0
10.414 0.571 4.0
10.468 0.571 5.0
10.335 0.571 6.0
10.296 0.571 7.0
9.998 0.571 8.0
10.080 0.571 9.0
10.186 0.571 10.0
9.862 0.571 11.0
10.713 0.500 12.0
9.873 0.571 13.0
9.905 0.571 14.0
9.860 0.571 15.0
9.997 0.571 16.0
9.823 0.571 17.0
9.840 0.571 18.0
9.817 0.571 19.0
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Model size
109M params
Tensor type
F32
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