---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-07-12T04:07:38'
  project_name: fp_bs16_lr2e4_x2_emissions_tracker
  run_id: bfad8449-f45f-4490-9c09-b615a393a8ef
  duration: 123183.01009082794
  emissions: 0.0926712331077666
  emissions_rate: 7.52305314177956e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 15.0
  cpu_energy: 1.4542414543996254
  gpu_energy: 0
  ram_energy: 0.5132588769684232
  energy_consumed: 1.9675003313680524
  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: 6
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 40
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 123183.01009082794  |
| Emissions (Co2eq in kg)  | 0.0926712331077666 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 15.0  |
| CPU energy (kWh)         | 1.4542414543996254  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.5132588769684232  |
| Consumed energy (kWh)    | 1.9675003313680524  |
| Country name             | Switzerland  |
| Cloud provider           | nan  |
| Cloud region             | nan  |
| CPU count                | 6  |
| 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)         | 0.23712729442484376  |
| Emissions (Co2eq in kg)  | 0.04824667895224094 |

## Note

5 juillet 2024 !

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | fp_bs16_lr2e4_x2 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 0.0002  |
| batch_size               | 16  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0.0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 41210 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.508738 | 13.453564 |
| 0.5 | 3.852050 | 3.397609 |
| 1.0 | 3.251526 | 3.176829 |
| 1.5 | 3.058468 | 3.015703 |
| 2.0 | 5.927741 | 6.965355 |
| 2.5 | 6.956331 | 6.956432 |
| 3.0 | 6.951731 | 6.962861 |
| 3.5 | 6.950335 | 6.958723 |
| 4.0 | 6.946852 | 6.955874 |
| 4.5 | 6.950789 | 6.954085 |
| 5.0 | 6.937664 | 6.950021 |
| 5.5 | 6.947318 | 6.950066 |
| 6.0 | 6.932711 | 6.952001 |