---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-04T03:41:40'
  project_name: BERTrand_bs32_lr5_emissions_tracker
  run_id: 96601345-e00c-4518-bad5-88b8b3e7ffa1
  duration: 215893.2022356987
  emissions: 0.2259719345261451
  emissions_rate: 1.0466838797427405e-06
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 37.5
  cpu_energy: 2.548734558446212
  gpu_energy: 0
  ram_energy: 2.248869197867814
  energy_consumed: 4.797603756313989
  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: 4
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 100
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 215893.2022356987  |
| Emissions (Co2eq in kg)  | 0.2259719345261451 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 37.5  |
| CPU energy (kWh)         | 2.548734558446212  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 2.248869197867814  |
| Consumed energy (kWh)    | 4.797603756313989  |
| Country name             | Switzerland  |
| Cloud provider           | nan  |
| Cloud region             | nan  |
| CPU count                | 4  |
| 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)         | 0.41559441430371996  |
| Emissions (Co2eq in kg)  | 0.08455817087564864 |

## Note

30 April 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | BERTrand_bs32_lr5 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-05  |
| batch_size               | 32  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 6287 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.495780 | 13.831327 |
| 0.5 | 7.825472 | 7.840593 |
| 1.0 | 7.327533 | 7.785610 |
| 1.5 | 7.205367 | 7.586150 |
| 2.0 | 7.151769 | 7.663743 |
| 2.5 | 7.125600 | 8.101605 |
| 3.0 | 7.034717 | 7.773854 |
| 3.5 | 7.092155 | 7.549316 |
| 4.0 | 7.067814 | 7.819034 |
| 4.5 | 7.141888 | 7.587213 |
| 5.0 | 7.006890 | 7.892200 |
| 5.5 | 7.049742 | 7.752103 |
| 6.0 | 7.048553 | 7.844037 |
| 6.5 | 7.096755 | 7.641740 |
| 7.0 | 6.994647 | 7.617568 |
| 7.5 | 6.993773 | 7.864096 |
| 8.0 | 7.058714 | 7.730159 |
| 8.5 | 7.064419 | 7.629280 |
| 9.0 | 7.013462 | 7.746540 |
| 9.5 | 6.962919 | 8.147570 |
| 10.0 | 7.028505 | 7.587558 |
| 10.5 | 7.022366 | 7.531848 |
| 11.0 | 7.059191 | 7.623211 |
| 11.5 | 6.955125 | 7.734247 |
| 12.0 | 7.028196 | 7.606153 |