---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-06-27T20:43:54'
  project_name: fp_bs4_lr5_x8_emissions_tracker
  run_id: 9c2b5b21-9750-4206-9569-387a2b7d15f8
  duration: 208490.08250188828
  emissions: 0.1568480215083055
  emissions_rate: 7.523044723572641e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 15.0
  cpu_energy: 2.461335938281156
  gpu_energy: 0
  ram_energy: 0.8686999740839002
  energy_consumed: 3.330035912365035
  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)    | 208490.08250188828  |
| Emissions (Co2eq in kg)  | 0.1568480215083055 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 15.0  |
| CPU energy (kWh)         | 2.461335938281156  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.8686999740839002  |
| Consumed energy (kWh)    | 3.330035912365035  |
| 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)         | 0.4013434088161349  |
| Emissions (Co2eq in kg)  | 0.08165861564657291 |

## Note

24 juin 2024 !

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | fp_bs4_lr5_x8 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 5e-05  |
| batch_size               | 4  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0.0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 164073 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 13.089132 | 11.385561 |
| 0.5 | 4.059727 | 3.669117 |
| 1.0 | 3.514628 | 3.423268 |
| 1.5 | 3.314988 | 3.295123 |
| 2.0 | 3.175144 | 3.186192 |
| 2.5 | 3.077100 | 3.083530 |
| 3.0 | 2.998466 | 3.025474 |
| 3.5 | 2.926265 | 2.971895 |
| 4.0 | 2.864591 | 2.906877 |
| 4.5 | 2.803545 | 2.856923 |
| 5.0 | 2.747675 | 2.814351 |
| 5.5 | 2.699872 | 2.777204 |
| 6.0 | 2.671672 | 2.749017 |