---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-25T17:20:05'
  project_name: fp_bs16_lr5_x8_emissions_tracker
  run_id: 503e501c-8b33-44b8-9cef-4fac69b0f7d1
  duration: 196705.34432196617
  emissions: 0.1286804665544536
  emissions_rate: 6.54178802299495e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 2.3222117956113446
  gpu_energy: 0
  ram_energy: 0.4097995534991225
  energy_consumed: 2.7320113491104987
  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: 20
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 196705.34432196617  |
| Emissions (Co2eq in kg)  | 0.1286804665544536 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 2.3222117956113446  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.4097995534991225  |
| Consumed energy (kWh)    | 2.7320113491104987  |
| 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)         | 0.37865778781978493  |
| Emissions (Co2eq in kg)  | 0.07704292652610341 |

## Note

23 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | fp_bs16_lr5_x8 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 5e-05  |
| 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                | 41218 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 14.686598 | 11.886746 |
| 0.5 | 3.998385 | 3.649665 |
| 1.0 | 3.490367 | 3.393353 |
| 1.5 | 3.290890 | 3.255204 |
| 2.0 | 3.157838 | 3.152300 |
| 2.5 | 3.069295 | 3.055032 |
| 3.0 | 2.990106 | 3.000328 |
| 3.5 | 2.920427 | 2.949885 |
| 4.0 | 2.863116 | 2.891974 |
| 4.5 | 2.807602 | 2.853656 |
| 5.0 | 2.761196 | 2.817136 |
| 5.5 | 2.738286 | 2.776668 |
| 6.0 | 2.707156 | 2.769844 |