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 |
---|---|---|
10.410 | 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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