---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-21T06:35:39'
  project_name: ft_bs64_lr7_base_x8_emissions_tracker
  run_id: 0945d8ee-6ebc-49db-aee6-bd90d1f4b2bb
  duration: 28945.63649892807
  emissions: 0.0189356286432173
  emissions_rate: 6.541790381399498e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.341718781052364
  gpu_energy: 0
  ram_energy: 0.0603030155807732
  energy_consumed: 0.4020217966331371
  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)    | 28945.63649892807  |
| Emissions (Co2eq in kg)  | 0.0189356286432173 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.341718781052364  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0603030155807732  |
| Consumed energy (kWh)    | 0.4020217966331371  |
| 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)         | 0.05572035026043654  |
| Emissions (Co2eq in kg)  | 0.011337040962080162 |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs64_lr7_base_x8 |
| sequence_length          | 400  |
| num_epoch                | 20  |
| 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                | 108600 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.605284 | 0.559398 | 0.727541 | 0.823620 |
| 1 | 0.521418 | 0.518530 | 0.740795 | 0.834356 |
| 2 | 0.487186 | 0.492726 | 0.758468 | 0.835890 |
| 3 | 0.459882 | 0.469925 | 0.776141 | 0.832822 |
| 4 | 0.436708 | 0.451493 | 0.786451 | 0.848160 |
| 5 | 0.414721 | 0.432541 | 0.798233 | 0.815951 |
| 6 | 0.395287 | 0.419788 | 0.806333 | 0.819018 |
| 7 | 0.381209 | 0.413589 | 0.805596 | 0.868098 |
| 8 | 0.371399 | 0.402106 | 0.821060 | 0.858896 |
| 9 | 0.362982 | 0.403256 | 0.814433 | 0.878834 |
| 10 | 0.353726 | 0.393290 | 0.826215 | 0.848160 |
| 11 | 0.346824 | 0.389223 | 0.826215 | 0.852761 |
| 12 | 0.341413 | 0.385427 | 0.829161 | 0.846626 |
| 13 | 0.339145 | 0.385045 | 0.830633 | 0.835890 |
| 14 | 0.329240 | 0.386728 | 0.826215 | 0.874233 |
| 15 | 0.325913 | 0.383079 | 0.834315 | 0.825153 |
| 16 | 0.319987 | 0.381838 | 0.831370 | 0.840491 |
| 17 | 0.314436 | 0.383904 | 0.834315 | 0.871166 |
| 18 | 0.309196 | 0.386049 | 0.833579 | 0.881902 |
| 19 | 0.309234 | 0.411747 | 0.818115 | 0.923313 |