---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-04T02:15:26'
  project_name: BERTrand_bs64_lr5_emissions_tracker
  run_id: f7a0cdf6-c88d-4c9c-a4ae-06e00c61174a
  duration: 210553.2843556404
  emissions: 0.2720349058598398
  emissions_rate: 1.292000296705666e-06
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 56.25
  cpu_energy: 2.4856944445676237
  gpu_energy: 0
  ram_energy: 3.289870954465132
  energy_consumed: 5.775565399032714
  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)    | 210553.2843556404  |
| Emissions (Co2eq in kg)  | 0.2720349058598398 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 56.25  |
| CPU energy (kWh)         | 2.4856944445676237  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 3.289870954465132  |
| Consumed energy (kWh)    | 5.775565399032714  |
| 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)         | 0.4053150723846078  |
| Emissions (Co2eq in kg)  | 0.08246670303929249 |

## Note

30 April 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | BERTrand_bs64_lr5 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-05  |
| 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                | 3148 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.402081 | 13.817045 |
| 0.5 | 8.054414 | 7.829068 |
| 1.0 | 4.816239 | 3.114260 |
| 1.5 | 2.206430 | 2.955595 |
| 2.0 | 2.189819 | 2.872115 |
| 2.5 | 2.418134 | 2.865437 |
| 3.0 | 2.349051 | 2.810524 |
| 3.5 | 2.102283 | 2.820134 |
| 4.0 | 1.907061 | 2.957294 |
| 4.5 | 2.326205 | 2.785392 |
| 5.0 | 2.257292 | 2.737638 |
| 5.5 | 2.127350 | 2.733068 |
| 6.0 | 1.883285 | 2.774372 |
| 6.5 | 2.100682 | 2.667502 |
| 7.0 | 2.194973 | 2.628296 |
| 7.5 | 2.163919 | 2.643665 |
| 8.0 | 1.850441 | 2.637510 |
| 8.5 | 1.968181 | 2.632833 |
| 9.0 | 2.121989 | 2.625116 |
| 9.5 | 2.136497 | 2.646418 |
| 10.0 | 1.891819 | 2.655790 |
| 10.5 | 1.822331 | 2.596789 |
| 11.0 | 2.116980 | 2.584595 |
| 11.5 | 2.101184 | 2.588414 |
| 12.0 | 1.961101 | 2.560519 |