---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-16T20:38:19'
  project_name: ft_bs64_lr7_base_emissions_tracker
  run_id: bea8cf00-389c-4ff2-b2aa-78904c18e5b1
  duration: 15632.51683139801
  emissions: 0.0102264592683038
  emissions_rate: 6.541786827162661e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.18455020764586
  gpu_energy: 0
  ram_energy: 0.0325674600958824
  energy_consumed: 0.2171176677417424
  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: 3
  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)    | 15632.51683139801  |
| Emissions (Co2eq in kg)  | 0.0102264592683038 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.18455020764586  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0325674600958824  |
| Consumed energy (kWh)    | 0.2171176677417424  |
| Country name             | Switzerland  |
| Cloud provider           | nan  |
| Cloud region             | nan  |
| CPU count                | 3  |
| 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)         | 0.030092594900441166  |
| Emissions (Co2eq in kg)  | 0.00612273575896422 |

## Note

16 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs64_lr7_base |
| sequence_length          | 400  |
| num_epoch                | 10  |
| learning_rate            | 5e-07  |
| batch_size               | 64  |
| 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 | 0.632340 | 0.605113 | 0.685567 | 0.815951 |
| 1 | 0.586177 | 0.575657 | 0.709867 | 0.831288 |
| 2 | 0.546068 | 0.549037 | 0.737850 | 0.803681 |
| 3 | 0.509133 | 0.523782 | 0.750368 | 0.774540 |
| 4 | 0.474285 | 0.502116 | 0.763623 | 0.773006 |
| 5 | 0.440148 | 0.482997 | 0.782769 | 0.808282 |
| 6 | 0.411904 | 0.476160 | 0.771723 | 0.748466 |
| 7 | 0.377375 | 0.467880 | 0.787923 | 0.831288 |
| 8 | 0.345489 | 0.474640 | 0.776878 | 0.838957 |
| 9 | 0.314638 | 0.477554 | 0.773932 | 0.809816 |