---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-17T20:57:10'
  project_name: ft_bs16_lr6_base_emissions_tracker
  run_id: 65393a69-4256-4ee8-82d8-c5611a3f5b31
  duration: 39922.8010020256
  emissions: 0.0245496594537213
  emissions_rate: 6.149282825239585e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 4.500000000000001
  cpu_energy: 0.4713100399212706
  gpu_energy: 0
  ram_energy: 0.0499030862060189
  energy_consumed: 0.5212131261272877
  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)    | 39922.8010020256  |
| Emissions (Co2eq in kg)  | 0.0245496594537213 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 4.500000000000001  |
| CPU energy (kWh)         | 0.4713100399212706  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0499030862060189  |
| Consumed energy (kWh)    | 0.5212131261272877  |
| 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)         | 0.07685139192889928  |
| Emissions (Co2eq in kg)  | 0.015636430392460023 |

## Note

17 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs16_lr6_base |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 5e-06  |
| 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                | 32580 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.454731 | 0.365926 | 0.840943 | 0.851227 |
| 1 | 0.348025 | 0.367064 | 0.843152 | 0.884969 |
| 2 | 0.303349 | 0.360609 | 0.848306 | 0.840491 |
| 3 | 0.247147 | 0.404108 | 0.834315 | 0.889571 |
| 4 | 0.176933 | 0.446045 | 0.822533 | 0.860429 |
| 5 | 0.126679 | 0.511276 | 0.818851 | 0.815951 |