---
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_bs16_lr6 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-06  |
| 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                | 12597 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.499363 | 15.126202 |
| 0.5 | 8.243008 | 8.091313 |
| 1.0 | 7.354550 | 7.973097 |
| 1.5 | 7.244512 | 7.687902 |
| 2.0 | 7.199471 | 7.686438 |
| 2.5 | 7.161911 | 7.657964 |
| 3.0 | 7.049606 | 7.765894 |
| 3.5 | 7.091233 | 7.786471 |
| 4.0 | 7.060327 | 7.814007 |
| 4.5 | 7.164975 | 7.602441 |
| 5.0 | 7.008690 | 7.586652 |
| 5.5 | 7.035732 | 7.525334 |
| 6.0 | 7.045719 | 7.715493 |
| 6.5 | 7.108394 | 7.486681 |
| 7.0 | 6.992529 | 7.641908 |
| 7.5 | 6.993111 | 7.575982 |
| 8.0 | 7.051304 | 7.670884 |
| 8.5 | 7.075128 | 7.527084 |
| 9.0 | 7.010871 | 7.556140 |
| 9.5 | 6.978617 | 7.623441 |
| 10.0 | 7.033166 | 7.562979 |
| 10.5 | 7.026733 | 7.549661 |
| 11.0 | 7.080350 | 7.510597 |
| 11.5 | 6.955319 | 7.589880 |