---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-16T22:33:13'
  project_name: ft_bs16_lr7_base_emissions_tracker
  run_id: 4a3aebd8-5753-45a3-af09-6c0aad5dece5
  duration: 22631.866507530212
  emissions: 0.0139169743825858
  emissions_rate: 6.149282640013517e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 4.500000000000001
  cpu_energy: 0.267181290489766
  gpu_energy: 0
  ram_energy: 0.0282895993551612
  energy_consumed: 0.2954708898449266
  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: 2
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 12
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 22631.866507530212  |
| Emissions (Co2eq in kg)  | 0.0139169743825858 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 4.500000000000001  |
| CPU energy (kWh)         | 0.267181290489766  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0282895993551612  |
| Consumed energy (kWh)    | 0.2954708898449266  |
| Country name             | Switzerland  |
| Cloud provider           | nan  |
| Cloud region             | nan  |
| CPU count                | 2  |
| 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)         | 0.04356634302699566  |
| Emissions (Co2eq in kg)  | 0.008864147715449333 |

## Note

16 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs16_lr7_base |
| sequence_length          | 400  |
| num_epoch                | 10  |
| learning_rate            | 5e-07  |
| 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                | 54300 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.629086 | 0.590556 | 0.692194 | 0.911043 |
| 1 | 0.548482 | 0.540004 | 0.726068 | 0.872699 |
| 2 | 0.501704 | 0.512447 | 0.754786 | 0.886503 |
| 3 | 0.459357 | 0.494099 | 0.770250 | 0.857362 |
| 4 | 0.416389 | 0.479099 | 0.789396 | 0.869632 |
| 5 | 0.380655 | 0.477198 | 0.782032 | 0.888037 |
| 6 | 0.344400 | 0.471280 | 0.786451 | 0.880368 |
| 7 | 0.310361 | 0.469706 | 0.785714 | 0.869632 |
| 8 | 0.280115 | 0.481110 | 0.781296 | 0.869632 |
| 9 | 0.250575 | 0.481127 | 0.770987 | 0.817485 |