---
language: en
tags:
- fill-mask
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | [More Information Needed]  |
| Emissions (Co2eq in kg)  | [More Information Needed] |
| CPU power (W)            | [NO CPU]  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | [More Information Needed]  |
| CPU energy (kWh)         | [No CPU]  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | [More Information Needed]  |
| Consumed energy (kWh)    | [More Information Needed]  |
| Country name             | [More Information Needed]  |
| Cloud provider           | [No Cloud]  |
| Cloud region             | [No Cloud]  |
| CPU count                | [No CPU]  |
| CPU model                | [No CPU]  |
| GPU count                | [No GPU]  |
| GPU model                | [No GPU]  |

## Environmental Impact (for one core)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| CPU energy (kWh)         | [No CPU]  |
| Emissions (Co2eq in kg)  | [More Information Needed] |

## Note

2 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | BERTrand_bs16_lr5_MLM |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-05  |
| batch_size               | 16  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 13033 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 14.743229 | 13.097182 |
| 0.5 | 7.100540 | 6.967106 |
| 1.0 | 6.948475 | 6.939338 |
| 1.5 | 6.938035 | 6.938765 |
| 2.0 | 6.931950 | 6.935680 |
| 2.5 | 6.923858 | 6.936854 |
| 3.0 | 6.920174 | 6.932032 |
| 3.5 | 6.920139 | 6.914489 |
| 4.0 | 6.911595 | 6.913473 |
| 4.5 | 6.905194 | 6.909112 |
| 5.0 | 6.903432 | 6.907618 |
| 5.5 | 6.901336 | 6.901513 |
| 6.0 | 6.896765 | 6.905171 |
| 6.5 | 6.900726 | 6.894976 |
| 7.0 | 6.881094 | 6.894709 |
| 7.5 | 6.885156 | 6.894880 |
| 8.0 | 6.883777 | 6.893790 |
| 8.5 | 6.884839 | 6.888695 |
| 9.0 | 6.881206 | 6.888314 |
| 9.5 | 6.875793 | 6.884028 |
| 10.0 | 6.871364 | 6.881168 |
| 10.5 | 6.880161 | 6.887640 |
| 11.0 | 6.878505 | 6.883618 |
| 11.5 | 6.873283 | 6.881647 |