---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-04T02:09:36'
  project_name: BERTrand_bs64_lr6_emissions_tracker
  run_id: 698197ff-1c20-4368-8dfb-1a85fe843c4d
  duration: 210196.29861307144
  emissions: 0.2715737813178914
  emissions_rate: 1.2920007778909722e-06
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 56.25
  cpu_energy: 2.4814802918722147
  gpu_energy: 0
  ram_energy: 3.284294985041019
  energy_consumed: 5.765775276913259
  country_name: Switzerland
  country_iso_code: CHE
  region: .nan
  cloud_provider: .nan
  cloud_region: .nan
  os: Linux-5.14.0-70.30.1.el9_0.x86_64-x86_64-with-glibc2.34
  python_version: 3.10.4
  codecarbon_version: 2.3.4
  cpu_count: 4
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 150
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 210196.29861307144  |
| Emissions (Co2eq in kg)  | 0.2715737813178914 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 56.25  |
| CPU energy (kWh)         | 2.4814802918722147  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 3.284294985041019  |
| Consumed energy (kWh)    | 5.765775276913259  |
| Country name             | Switzerland  |
| Cloud provider           | nan  |
| Cloud region             | nan  |
| CPU count                | 4  |
| CPU model                | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz  |
| GPU count                | nan  |
| GPU model                | nan  |

## Environmental Impact (for one core)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| CPU energy (kWh)         | 0.4046278748301625  |
| Emissions (Co2eq in kg)  | 0.08232688362345299 |

## Note

30 April 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | BERTrand_bs64_lr6 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-06  |
| batch_size               | 64  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 3147 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.574399 | 15.096123 |
| 0.5 | 9.594637 | 8.148669 |
| 1.0 | 7.853338 | 8.074202 |
| 1.5 | 7.905947 | 7.939530 |
| 2.0 | 7.834033 | 7.833388 |
| 2.5 | 7.720610 | 7.871610 |
| 3.0 | 7.495963 | 7.976839 |
| 3.5 | 7.330389 | 7.752517 |
| 4.0 | 7.214343 | 7.848690 |
| 4.5 | 7.346055 | 7.724831 |
| 5.0 | 7.110836 | 7.715771 |
| 5.5 | 7.125741 | 7.595748 |
| 6.0 | 7.127250 | 7.659738 |
| 6.5 | 7.239036 | 7.671448 |
| 7.0 | 7.073343 | 7.705375 |
| 7.5 | 7.070813 | 7.589307 |
| 8.0 | 7.124647 | 7.582091 |
| 8.5 | 7.166616 | 7.539913 |
| 9.0 | 7.092505 | 7.611073 |
| 9.5 | 7.048057 | 7.625665 |
| 10.0 | 7.101367 | 7.564788 |
| 10.5 | 7.108332 | 7.602001 |
| 11.0 | 7.179604 | 7.554187 |
| 11.5 | 7.028062 | 7.575663 |
| 12.0 | 7.086092 | 7.574604 |