---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-21T06:55:27'
  project_name: ft_bs32_1lr6_base_x8_emissions_tracker
  run_id: 1ff5aee1-6c8d-4e7a-951c-dc91ed582d85
  duration: 29669.0817964077
  emissions: 0.0194088841146787
  emissions_rate: 6.541787928546118e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.3502593684590531
  gpu_energy: 0
  ram_energy: 0.0618101017152269
  energy_consumed: 0.4120694701742792
  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)    | 29669.0817964077  |
| Emissions (Co2eq in kg)  | 0.0194088841146787 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.3502593684590531  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0618101017152269  |
| Consumed energy (kWh)    | 0.4120694701742792  |
| 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)         | 0.05711298245808482  |
| Emissions (Co2eq in kg)  | 0.011620390370259682 |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs32_1lr6_base_x8 |
| sequence_length          | 400  |
| num_epoch                | 20  |
| learning_rate            | 1e-06  |
| 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 | 0.563129 | 0.502131 | 0.748159 | 0.777607 |
| 1 | 0.467373 | 0.454147 | 0.782769 | 0.842025 |
| 2 | 0.418498 | 0.435779 | 0.794551 | 0.907975 |
| 3 | 0.379170 | 0.403679 | 0.811487 | 0.895706 |
| 4 | 0.358712 | 0.382256 | 0.827688 | 0.858896 |
| 5 | 0.340088 | 0.380777 | 0.834315 | 0.880368 |
| 6 | 0.326862 | 0.395078 | 0.823270 | 0.897239 |
| 7 | 0.314514 | 0.419026 | 0.816642 | 0.929448 |
| 8 | 0.302010 | 0.378412 | 0.832842 | 0.834356 |
| 9 | 0.293725 | 0.385449 | 0.824006 | 0.797546 |
| 10 | 0.286153 | 0.380928 | 0.835052 | 0.874233 |
| 11 | 0.267783 | 0.388242 | 0.836524 | 0.877301 |
| 12 | 0.255809 | 0.398119 | 0.830633 | 0.831288 |
| 13 | 0.245926 | 0.413752 | 0.819588 | 0.797546 |
| 14 | 0.236472 | 0.416892 | 0.815906 | 0.794479 |
| 15 | 0.223494 | 0.431361 | 0.830633 | 0.872699 |
| 16 | 0.207387 | 0.438017 | 0.815169 | 0.808282 |
| 17 | 0.198799 | 0.445411 | 0.819588 | 0.819018 |
| 18 | 0.182488 | 0.460939 | 0.821060 | 0.837423 |
| 19 | 0.168675 | 0.513154 | 0.817378 | 0.900307 |