---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-21T06:49:36'
  project_name: ft_bs16_1lr6_base_x8_emissions_tracker
  run_id: e8f58681-b571-4e35-a345-b5c77f7b4a7e
  duration: 29334.1406750679
  emissions: 0.0191897816027374
  emissions_rate: 6.541790951131397e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.3463053195810985
  gpu_energy: 0
  ram_energy: 0.0611123913536468
  energy_consumed: 0.4074177109347459
  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)    | 29334.1406750679  |
| Emissions (Co2eq in kg)  | 0.0191897816027374 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.3463053195810985  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0611123913536468  |
| Consumed energy (kWh)    | 0.4074177109347459  |
| 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)         | 0.05646822079950571  |
| Emissions (Co2eq in kg)  | 0.011489205097734928 |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs16_1lr6_base_x8 |
| sequence_length          | 400  |
| num_epoch                | 20  |
| learning_rate            | 1e-06  |
| batch_size               | 16  |
| 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 | 0.523328 | 0.476205 | 0.776141 | 0.906442 |
| 1 | 0.431474 | 0.413639 | 0.813697 | 0.866564 |
| 2 | 0.384488 | 0.402209 | 0.823270 | 0.897239 |
| 3 | 0.353091 | 0.387237 | 0.822533 | 0.800613 |
| 4 | 0.328723 | 0.390632 | 0.836524 | 0.918712 |
| 5 | 0.314824 | 0.373720 | 0.835052 | 0.848160 |
| 6 | 0.299005 | 0.389435 | 0.810751 | 0.750000 |
| 7 | 0.289835 | 0.386018 | 0.835052 | 0.860429 |
| 8 | 0.273817 | 0.388888 | 0.829897 | 0.814417 |
| 9 | 0.257712 | 0.386943 | 0.837997 | 0.871166 |
| 10 | 0.236881 | 0.410112 | 0.832842 | 0.855828 |
| 11 | 0.218910 | 0.429738 | 0.820324 | 0.837423 |
| 12 | 0.207044 | 0.461636 | 0.832106 | 0.891104 |
| 13 | 0.192752 | 0.454077 | 0.817378 | 0.828221 |
| 14 | 0.167404 | 0.477347 | 0.802651 | 0.754601 |
| 15 | 0.146702 | 0.511787 | 0.810751 | 0.875767 |
| 16 | 0.134885 | 0.540342 | 0.814433 | 0.858896 |
| 17 | 0.118554 | 0.552969 | 0.807069 | 0.802147 |
| 18 | 0.105443 | 0.596917 | 0.805596 | 0.803681 |
| 19 | 0.085186 | 0.638636 | 0.796024 | 0.757669 |