---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-17T15:06:22'
  project_name: ft_bs64_lr6_base_x4_emissions_tracker
  run_id: 02402ada-d0fb-4b04-b706-3b97861a2ad3
  duration: 18129.05792498589
  emissions: 0.0118596516104099
  emissions_rate: 6.541791448558767e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.2140232932743098
  gpu_energy: 0
  ram_energy: 0.0377686349312464
  energy_consumed: 0.2517919282055566
  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)    | 18129.05792498589  |
| Emissions (Co2eq in kg)  | 0.0118596516104099 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.2140232932743098  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0377686349312464  |
| Consumed energy (kWh)    | 0.2517919282055566  |
| 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)         | 0.03489843650559783  |
| Emissions (Co2eq in kg)  | 0.00710054768728614 |

## Note

17 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs64_lr6_base_x4 |
| sequence_length          | 400  |
| num_epoch                | 12  |
| learning_rate            | 5e-06  |
| 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                | 65160 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.494021 | 0.421029 | 0.805596 | 0.891104 |
| 1 | 0.370485 | 0.376504 | 0.825479 | 0.888037 |
| 2 | 0.325639 | 0.374071 | 0.835788 | 0.897239 |
| 3 | 0.287644 | 0.374302 | 0.830633 | 0.906442 |
| 4 | 0.259016 | 0.370951 | 0.849779 | 0.877301 |
| 5 | 0.221142 | 0.409426 | 0.824742 | 0.815951 |
| 6 | 0.192179 | 0.451972 | 0.821797 | 0.852761 |
| 7 | 0.119463 | 0.534428 | 0.812960 | 0.800613 |
| 8 | 0.075451 | 0.618039 | 0.817378 | 0.757669 |
| 9 | 0.051555 | 0.791213 | 0.799705 | 0.702454 |
| 10 | 0.024909 | 0.752735 | 0.809278 | 0.826687 |
| 11 | 0.019373 | 0.822910 | 0.813697 | 0.802147 |