---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-21T03:06:25'
  project_name: ft_bs64_lr7_mlm_emissions_tracker
  run_id: be9a83ce-b72a-495b-8264-9e8b3a7e7164
  duration: 19140.974267959595
  emissions: 0.0125216234646344
  emissions_rate: 6.541790030821253e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.2259694842797186
  gpu_energy: 0
  ram_energy: 0.0398767496565978
  energy_consumed: 0.265846233936316
  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)    | 19140.974267959595  |
| Emissions (Co2eq in kg)  | 0.0125216234646344 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.2259694842797186  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0398767496565978  |
| Consumed energy (kWh)    | 0.265846233936316  |
| 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)         | 0.036846375465822215  |
| Emissions (Co2eq in kg)  | 0.0074968815882841735 |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | damgomz/ThunBERT_bs16_lr5_MLM  |
| model_name               | ft_bs64_lr7_mlm |
| sequence_length          | 400  |
| num_epoch                | 15  |
| 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                | 81450 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.681750 | 0.650938 | 0.675258 | 0.677914 |
| 1 | 0.620596 | 0.590201 | 0.706186 | 0.838957 |
| 2 | 0.561438 | 0.541534 | 0.731222 | 0.828221 |
| 3 | 0.517364 | 0.505266 | 0.757732 | 0.857362 |
| 4 | 0.481140 | 0.471585 | 0.787923 | 0.871166 |
| 5 | 0.445565 | 0.441544 | 0.804860 | 0.877301 |
| 6 | 0.416452 | 0.418398 | 0.810751 | 0.840491 |
| 7 | 0.397176 | 0.402198 | 0.818115 | 0.860429 |
| 8 | 0.381283 | 0.391362 | 0.818851 | 0.861963 |
| 9 | 0.368698 | 0.386014 | 0.827688 | 0.883436 |
| 10 | 0.360030 | 0.378365 | 0.828424 | 0.880368 |
| 11 | 0.351088 | 0.372454 | 0.827688 | 0.865031 |
| 12 | 0.344274 | 0.368691 | 0.832106 | 0.868098 |
| 13 | 0.336930 | 0.368929 | 0.835788 | 0.894172 |
| 14 | 0.331037 | 0.363933 | 0.840943 | 0.880368 |