---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-22T12:49:26'
  project_name: ft_16_2e6_base_emissions_tracker
  run_id: 4c3a0b2f-331d-494b-9aae-7dd7f9b1a9f2
  duration: 72292.58600878716
  emissions: 0.0437453634460759
  emissions_rate: 6.051154877867931e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 3.75
  cpu_energy: 0.8534524710832389
  gpu_energy: 0
  ram_energy: 0.0753041040653985
  energy_consumed: 0.9287565751486369
  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: 10
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 72292.58600878716  |
| Emissions (Co2eq in kg)  | 0.0437453634460759 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 3.75  |
| CPU energy (kWh)         | 0.8534524710832389  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0753041040653985  |
| Consumed energy (kWh)    | 0.9287565751486369  |
| 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)         | 0.13916322806691525  |
| Emissions (Co2eq in kg)  | 0.028314596186774968 |

## Note

21 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_16_2e6_base |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 2e-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                | 32586 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.544336 | 0.477866 | 0.767240 | 0.803225 |
| 1 | 0.396334 | 0.386530 | 0.827345 | 0.877139 |
| 2 | 0.321938 | 0.380702 | 0.832649 | 0.840887 |
| 3 | 0.258635 | 0.413110 | 0.816591 | 0.838604 |
| 4 | 0.215591 | 0.433801 | 0.812760 | 0.825242 |
| 5 | 0.162357 | 0.478323 | 0.809816 | 0.807659 |