---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-03T20:37:09'
  project_name: BERTrand_bs16_lr5_emissions_tracker
  run_id: 49c906ec-058d-4552-a3a9-71ef3ba22844
  duration: 190422.01247096065
  emissions: 0.1993119180945443
  emissions_rate: 1.046685283430346e-06
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 37.5
  cpu_energy: 2.2480348206905836
  gpu_energy: 0
  ram_energy: 1.9835508801341004
  energy_consumed: 4.231585700824702
  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: 100
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 190422.01247096065  |
| Emissions (Co2eq in kg)  | 0.1993119180945443 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 37.5  |
| CPU energy (kWh)         | 2.2480348206905836  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 1.9835508801341004  |
| Consumed energy (kWh)    | 4.231585700824702  |
| 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)         | 0.3665623740065992  |
| Emissions (Co2eq in kg)  | 0.07458195488445958 |

## Note

30 April 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | BERTrand_bs16_lr5 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-05  |
| batch_size               | 16  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 12590 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.505644 | 13.835570 |
| 0.5 | 2.703247 | 3.216191 |
| 1.0 | 2.525614 | 3.149906 |
| 1.5 | 2.203586 | 3.040256 |
| 2.0 | 2.160747 | 2.952961 |
| 2.5 | 2.370840 | 2.949682 |
| 3.0 | 2.350076 | 2.925128 |
| 3.5 | 2.110838 | 2.981181 |
| 4.0 | 1.903310 | 2.836523 |
| 4.5 | 2.270815 | 2.814076 |
| 5.0 | 2.256549 | 2.848042 |
| 5.5 | 2.214569 | 2.812752 |
| 6.0 | 1.896058 | 2.755932 |
| 6.5 | 2.082173 | 2.737672 |
| 7.0 | 2.156056 | 2.711664 |
| 7.5 | 2.133011 | 2.690121 |
| 8.0 | 1.826039 | 2.718429 |
| 8.5 | 1.919896 | 2.646301 |
| 9.0 | 2.058763 | 2.616522 |
| 9.5 | 2.088796 | 2.676844 |
| 10.0 | 1.848681 | 2.622713 |
| 10.5 | 1.776635 | 2.581153 |
| 11.0 | 2.059736 | 2.579319 |
| 11.5 | 2.055293 | 2.591116 |
| 12.0 | 1.912107 | 2.555768 |