---
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_bs1_lr5_x8 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 5e-05  |
| batch_size               | 1  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0.0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 659911 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.719150 | 11.665336 |
| 0.5 | 7.340089 | 7.256945 |
| 1.0 | 7.157110 | 7.134097 |
| 1.5 | 7.130677 | 7.098063 |
| 2.0 | 7.123113 | 7.127436 |
| 2.5 | 7.122067 | 7.126453 |
| 3.0 | 7.119943 | 7.094573 |
| 3.5 | 7.115897 | 7.081500 |
| 4.0 | 7.110891 | 7.116901 |
| 4.5 | 7.099238 | 7.080173 |
| 5.0 | 7.094084 | 7.070796 |
| 5.5 | 7.086580 | 7.081593 |