---
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_bs32_lr5 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-05  |
| batch_size               | 32  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 6287 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.495780 | 13.831327 |
| 0.5 | 7.825472 | 7.840593 |
| 1.0 | 7.327533 | 7.785610 |
| 1.5 | 7.205367 | 7.586150 |
| 2.0 | 7.151769 | 7.663743 |
| 2.5 | 7.125600 | 8.101605 |
| 3.0 | 7.034717 | 7.773854 |
| 3.5 | 7.092155 | 7.549316 |
| 4.0 | 7.067814 | 7.819034 |
| 4.5 | 7.141888 | 7.587213 |
| 5.0 | 7.006890 | 7.892200 |
| 5.5 | 7.049742 | 7.752103 |
| 6.0 | 7.048553 | 7.844037 |
| 6.5 | 7.096755 | 7.641740 |
| 7.0 | 6.994647 | 7.617568 |
| 7.5 | 6.993773 | 7.864096 |
| 8.0 | 7.058714 | 7.730159 |
| 8.5 | 7.064419 | 7.629280 |
| 9.0 | 7.013462 | 7.746540 |
| 9.5 | 6.962919 | 8.147570 |
| 10.0 | 7.028505 | 7.587558 |
| 10.5 | 7.022366 | 7.531848 |
| 11.0 | 7.059191 | 7.623211 |
| 11.5 | 6.955125 | 7.734247 |