---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-16T22:36:41'
  project_name: ft_bs32_lr7_base_emissions_tracker
  run_id: 96ef2a0d-d398-4d33-b257-dba7fa8356e1
  duration: 22799.569629907608
  emissions: 0.0140201000358722
  emissions_rate: 6.149282755531136e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 4.500000000000001
  cpu_energy: 0.2691611221477383
  gpu_energy: 0
  ram_energy: 0.0284992255279422
  energy_consumed: 0.2976603476756804
  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)    | 22799.569629907608  |
| Emissions (Co2eq in kg)  | 0.0140201000358722 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 4.500000000000001  |
| CPU energy (kWh)         | 0.2691611221477383  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0284992255279422  |
| Consumed energy (kWh)    | 0.2976603476756804  |
| 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)         | 0.04388917153757214  |
| Emissions (Co2eq in kg)  | 0.008929831438380479 |

## Note

16 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs32_lr7_base |
| sequence_length          | 400  |
| num_epoch                | 10  |
| learning_rate            | 5e-07  |
| batch_size               | 32  |
| 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 | 0.631623 | 0.594133 | 0.694404 | 0.823620 |
| 1 | 0.558485 | 0.541231 | 0.733432 | 0.809816 |
| 2 | 0.500646 | 0.493926 | 0.761414 | 0.760736 |
| 3 | 0.449850 | 0.456491 | 0.795287 | 0.805215 |
| 4 | 0.414101 | 0.442600 | 0.801178 | 0.874233 |
| 5 | 0.378759 | 0.425400 | 0.809278 | 0.852761 |
| 6 | 0.350256 | 0.424491 | 0.810751 | 0.868098 |
| 7 | 0.323519 | 0.420775 | 0.810015 | 0.837423 |
| 8 | 0.289084 | 0.426480 | 0.810751 | 0.838957 |
| 9 | 0.261814 | 0.436926 | 0.804860 | 0.822086 |