---
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

11 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ThunBERT_bs8_lr4_MLM |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 0.0005  |
| batch_size               | 8  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0.0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 81680 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 10.543088 | 10.480216 |
| 0.5 | 7.136020 | 7.056888 |
| 1.0 | 7.012019 | 7.004119 |
| 1.5 | 6.990851 | 6.982289 |
| 2.0 | 7.008927 | 6.981744 |
| 2.5 | 6.986691 | 6.975362 |
| 3.0 | 6.971014 | 6.972791 |
| 3.5 | 6.971395 | 6.976788 |
| 4.0 | 6.964603 | 6.968367 |
| 4.5 | 6.960862 | 6.960208 |
| 5.0 | 6.952116 | 6.964635 |
| 5.5 | 6.951814 | 6.951701 |