Plainly Optimized Network
Dataset: BIGBENCH
Trainer Hyperparameters:
lr
= 5e-05per_device_batch_size
= 8gradient_accumulation_steps
= 2weight_decay
= 0.0seed
= 42
eval_loss | eval_accuracy | epoch |
---|---|---|
10.477 | 0.571 | 1.0 |
10.386 | 0.571 | 2.0 |
10.400 | 0.571 | 3.0 |
10.386 | 0.571 | 4.0 |
10.386 | 0.571 | 5.0 |
10.411 | 0.571 | 6.0 |
10.389 | 0.571 | 7.0 |
10.386 | 0.571 | 8.0 |
10.385 | 0.571 | 9.0 |
10.391 | 0.571 | 10.0 |
10.384 | 0.571 | 11.0 |
10.383 | 0.571 | 12.0 |
10.383 | 0.571 | 13.0 |
10.469 | 0.571 | 14.0 |
10.384 | 0.571 | 15.0 |
10.383 | 0.571 | 16.0 |
10.382 | 0.571 | 17.0 |
10.378 | 0.571 | 18.0 |
10.377 | 0.571 | 19.0 |
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