---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-21T06:46:22'
  project_name: ft_bs64_1lr6_base_x8_emissions_tracker
  run_id: 303058b9-e0ff-4ee5-9b11-7641f638c5ac
  duration: 29068.91158723831
  emissions: 0.0190162663339998
  emissions_rate: 6.541788218293073e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 7.5
  cpu_energy: 0.3431740666680863
  gpu_energy: 0
  ram_energy: 0.0605597464993595
  energy_consumed: 0.4037338131674456
  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)    | 29068.91158723831  |
| Emissions (Co2eq in kg)  | 0.0190162663339998 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 7.5  |
| CPU energy (kWh)         | 0.3431740666680863  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0605597464993595  |
| Consumed energy (kWh)    | 0.4037338131674456  |
| 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)         | 0.05595765480543375  |
| Emissions (Co2eq in kg)  | 0.011385323705001673 |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs64_1lr6_base_x8 |
| sequence_length          | 400  |
| num_epoch                | 20  |
| learning_rate            | 1e-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                | 108600 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.600790 | 0.530991 | 0.729750 | 0.803681 |
| 1 | 0.490914 | 0.515528 | 0.750368 | 0.937117 |
| 2 | 0.454214 | 0.454406 | 0.784242 | 0.837423 |
| 3 | 0.420142 | 0.442943 | 0.794551 | 0.891104 |
| 4 | 0.391595 | 0.418620 | 0.801915 | 0.854294 |
| 5 | 0.372766 | 0.409371 | 0.809278 | 0.808282 |
| 6 | 0.351249 | 0.411269 | 0.816642 | 0.884969 |
| 7 | 0.337517 | 0.410223 | 0.814433 | 0.897239 |
| 8 | 0.331506 | 0.397039 | 0.825479 | 0.881902 |
| 9 | 0.318005 | 0.416837 | 0.804124 | 0.730061 |
| 10 | 0.309892 | 0.406303 | 0.818115 | 0.907975 |
| 11 | 0.301596 | 0.390790 | 0.832106 | 0.840491 |
| 12 | 0.295900 | 0.391270 | 0.832842 | 0.865031 |
| 13 | 0.284800 | 0.392566 | 0.832106 | 0.860429 |
| 14 | 0.271658 | 0.397234 | 0.829897 | 0.823620 |
| 15 | 0.267081 | 0.404172 | 0.837261 | 0.883436 |
| 16 | 0.251110 | 0.409858 | 0.828424 | 0.823620 |
| 17 | 0.246977 | 0.409189 | 0.829161 | 0.852761 |
| 18 | 0.235927 | 0.413321 | 0.828424 | 0.838957 |
| 19 | 0.226951 | 0.428528 | 0.824006 | 0.819018 |