---
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

24 juin 2024 !

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | fp_bs4_lr5_x8 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 5e-05  |
| batch_size               | 4  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0.0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 164073 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 13.089132 | 11.385561 |
| 0.5 | 4.059727 | 3.669117 |
| 1.0 | 3.514628 | 3.423268 |
| 1.5 | 3.314988 | 3.295123 |
| 2.0 | 3.175144 | 3.186192 |
| 2.5 | 3.077100 | 3.083530 |
| 3.0 | 2.998466 | 3.025474 |
| 3.5 | 2.926265 | 2.971895 |
| 4.0 | 2.864591 | 2.906877 |
| 4.5 | 2.803545 | 2.856923 |
| 5.0 | 2.747675 | 2.814351 |
| 5.5 | 2.699872 | 2.777204 |