---
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_bs64_lr5_MLM |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-05  |
| batch_size               | 64  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 3270 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 14.601907 | 13.069239 |
| 0.5 | 7.447329 | 6.978540 |
| 1.0 | 6.960886 | 6.950151 |
| 1.5 | 4.932429 | 2.806009 |
| 2.0 | 2.701225 | 2.655897 |
| 2.5 | 2.606577 | 2.581771 |
| 3.0 | 2.548158 | 2.557307 |
| 3.5 | 2.505096 | 2.519658 |
| 4.0 | 2.481079 | 2.493212 |
| 4.5 | 2.450955 | 2.467917 |
| 5.0 | 2.436830 | 2.450555 |
| 5.5 | 2.415499 | 2.444447 |
| 6.0 | 2.396800 | 2.423250 |
| 6.5 | 2.386172 | 2.408114 |
| 7.0 | 2.366631 | 2.397662 |
| 7.5 | 2.364014 | 2.391399 |
| 8.0 | 2.338708 | 2.381241 |
| 8.5 | 2.341727 | 2.370836 |
| 9.0 | 2.321789 | 2.366722 |
| 9.5 | 2.321147 | 2.363208 |
| 10.0 | 2.313457 | 2.352971 |
| 10.5 | 2.306482 | 2.342249 |
| 11.0 | 2.295090 | 2.330649 |
| 11.5 | 2.306711 | 2.333718 |
| 12.0 | 2.291483 | 2.335983 |