---
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

30 April 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | BERTrand_bs64_lr6 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-06  |
| 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                | 3147 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.574399 | 15.096123 |
| 0.5 | 9.594637 | 8.148669 |
| 1.0 | 7.853338 | 8.074202 |
| 1.5 | 7.905947 | 7.939530 |
| 2.0 | 7.834033 | 7.833388 |
| 2.5 | 7.720610 | 7.871610 |
| 3.0 | 7.495963 | 7.976839 |
| 3.5 | 7.330389 | 7.752517 |
| 4.0 | 7.214343 | 7.848690 |
| 4.5 | 7.346055 | 7.724831 |
| 5.0 | 7.110836 | 7.715771 |
| 5.5 | 7.125741 | 7.595748 |
| 6.0 | 7.127250 | 7.659738 |
| 6.5 | 7.239036 | 7.671448 |
| 7.0 | 7.073343 | 7.705375 |
| 7.5 | 7.070813 | 7.589307 |
| 8.0 | 7.124647 | 7.582091 |
| 8.5 | 7.166616 | 7.539913 |
| 9.0 | 7.092505 | 7.611073 |
| 9.5 | 7.048057 | 7.625665 |
| 10.0 | 7.101367 | 7.564788 |
| 10.5 | 7.108332 | 7.602001 |
| 11.0 | 7.179604 | 7.554187 |