---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-21T06:51:24'
  project_name: ft_bs32_lr7_base_x8_emissions_tracker
  run_id: d86ab92c-42c5-46ae-a58f-cb705b0a7a8b
  duration: 29443.913482666016
  emissions: 0.0192615910805578
  emissions_rate: 6.54179040836314e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.3476012287669722
  gpu_energy: 0
  ram_energy: 0.0613410671621561
  energy_consumed: 0.4089422959291282
  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)    | 29443.913482666016  |
| Emissions (Co2eq in kg)  | 0.0192615910805578 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.3476012287669722  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0613410671621561  |
| Consumed energy (kWh)    | 0.4089422959291282  |
| 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)         | 0.056679533454132076  |
| Emissions (Co2eq in kg)  | 0.011532199447377522 |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs32_lr7_base_x8 |
| sequence_length          | 400  |
| num_epoch                | 20  |
| 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                | 108600 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.599385 | 0.533520 | 0.732695 | 0.743865 |
| 1 | 0.497255 | 0.495337 | 0.756996 | 0.874233 |
| 2 | 0.456973 | 0.457591 | 0.777614 | 0.812883 |
| 3 | 0.428078 | 0.435462 | 0.792342 | 0.811350 |
| 4 | 0.405985 | 0.418146 | 0.806333 | 0.865031 |
| 5 | 0.386763 | 0.402823 | 0.818851 | 0.852761 |
| 6 | 0.370968 | 0.398841 | 0.818115 | 0.819018 |
| 7 | 0.361504 | 0.389461 | 0.822533 | 0.865031 |
| 8 | 0.348315 | 0.386434 | 0.828424 | 0.881902 |
| 9 | 0.339924 | 0.381690 | 0.829897 | 0.820552 |
| 10 | 0.333508 | 0.379336 | 0.829161 | 0.869632 |
| 11 | 0.327714 | 0.375907 | 0.831370 | 0.860429 |
| 12 | 0.319972 | 0.372091 | 0.835052 | 0.861963 |
| 13 | 0.311965 | 0.373268 | 0.833579 | 0.829755 |
| 14 | 0.307354 | 0.374971 | 0.834315 | 0.835890 |
| 15 | 0.303944 | 0.373268 | 0.835052 | 0.874233 |
| 16 | 0.297742 | 0.387149 | 0.831370 | 0.906442 |
| 17 | 0.288179 | 0.376481 | 0.837997 | 0.878834 |
| 18 | 0.284836 | 0.380563 | 0.834315 | 0.892638 |
| 19 | 0.279182 | 0.376233 | 0.835788 | 0.843558 |