---
language: en
license: mit
library_name: pytorch
---
# Plainly Optimized Network
Dataset: BIGBENCH

Trainer Hyperparameters:
- `lr` = 5e-05
- `per_device_batch_size` = 1
- `gradient_accumulation_steps` = 4
- `weight_decay` = 1e-09
- `seed` = 42

|eval_loss|eval_accuracy|epoch|
|--|--|--|
|66.323|0.063|1.0|
|59.935|0.055|2.0|
|60.344|0.056|3.0|
|58.559|0.054|4.0|
|56.373|0.051|5.0|
|58.011|0.053|6.0|
|64.814|0.059|7.0|
|54.974|0.048|8.0|
|59.489|0.055|9.0|
|55.248|0.049|10.0|
|51.685|0.044|11.0|
|54.073|0.048|12.0|
|57.350|0.051|13.0|
|54.031|0.048|14.0|
|53.526|0.048|15.0|
|53.041|0.047|16.0|
|55.731|0.050|17.0|
|52.224|0.045|18.0|
|52.757|0.046|19.0|