---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-06-27T04:15:45'
  project_name: fp_bs8_lr5_x12_emissions_tracker
  run_id: 383ad829-cfe9-4004-8edb-256c917b8191
  duration: 149202.29011011124
  emissions: 0.1122456412119565
  emissions_rate: 7.523050827780143e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 15.0
  cpu_energy: 1.7614126276703366
  gpu_energy: 0
  ram_energy: 0.6216714090158515
  energy_consumed: 2.3830840366861965
  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)    | 149202.29011011124  |
| Emissions (Co2eq in kg)  | 0.1122456412119565 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 15.0  |
| CPU energy (kWh)         | 1.7614126276703366  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.6216714090158515  |
| Consumed energy (kWh)    | 2.3830840366861965  |
| 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)         | 0.2872144084619641  |
| Emissions (Co2eq in kg)  | 0.05843756362646023 |

## Note

24 juin 2024 !

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | fp_bs8_lr5_x12 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 5e-05  |
| batch_size               | 8  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0.0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 82829 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 12.793059 | 10.997055 |
| 0.5 | 4.387009 | 3.999417 |
| 1.0 | 3.826829 | 3.703264 |
| 1.5 | 3.604381 | 3.563780 |
| 2.0 | 3.450672 | 3.413914 |
| 2.5 | 3.329538 | 3.332963 |
| 3.0 | 3.239998 | 3.237234 |
| 3.5 | 3.156515 | 3.187907 |
| 4.0 | 3.088817 | 3.110496 |
| 4.5 | 3.007377 | 3.059386 |
| 5.0 | 2.959972 | 3.014899 |
| 5.5 | 2.906245 | 2.975704 |
| 6.0 | 2.884630 | 2.952865 |