---
language: en
tags:
- fill-mask
kwargs:
  timestamp: '2024-05-17T20:11:35'
  project_name: ft_bs16_lr7_base_x2_emissions_tracker
  run_id: 6bae0093-717f-46c3-bcdd-8f19fcccb3a8
  duration: 36881.51029586792
  emissions: 0.0226794872442836
  emissions_rate: 6.149283763692448e-07
  cpu_power: 42.5
  gpu_power: 0.0
  ram_power: 4.500000000000001
  cpu_energy: 0.4354060074516468
  gpu_energy: 0
  ram_energy: 0.0461015453451873
  energy_consumed: 0.4815075527968334
  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: 2
  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
  gpu_count: .nan
  gpu_model: .nan
  longitude: .nan
  latitude: .nan
  ram_total_size: 12
  tracking_mode: machine
  on_cloud: N
  pue: 1.0
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | 36881.51029586792  |
| Emissions (Co2eq in kg)  | 0.0226794872442836 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 4.500000000000001  |
| CPU energy (kWh)         | 0.4354060074516468  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0461015453451873  |
| Consumed energy (kWh)    | 0.4815075527968334  |
| Country name             | Switzerland  |
| Cloud provider           | nan  |
| Cloud region             | nan  |
| CPU count                | 2  |
| 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)         | 0.07099690731954574  |
| Emissions (Co2eq in kg)  | 0.014445258199214933 |

## Note

17 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs16_lr7_base_x2 |
| sequence_length          | 400  |
| num_epoch                | 15  |
| learning_rate            | 5e-07  |
| 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                | 81450 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.588079 | 0.517896 | 0.740059 | 0.863497 |
| 1 | 0.477829 | 0.460693 | 0.781296 | 0.848160 |
| 2 | 0.429019 | 0.428960 | 0.805596 | 0.881902 |
| 3 | 0.391332 | 0.404802 | 0.807806 | 0.832822 |
| 4 | 0.368315 | 0.398500 | 0.819588 | 0.863497 |
| 5 | 0.350588 | 0.389129 | 0.821060 | 0.863497 |
| 6 | 0.335994 | 0.382235 | 0.822533 | 0.874233 |
| 7 | 0.324425 | 0.373543 | 0.834315 | 0.838957 |
| 8 | 0.310990 | 0.373090 | 0.831370 | 0.854294 |
| 9 | 0.300017 | 0.368493 | 0.834315 | 0.849693 |
| 10 | 0.286613 | 0.377919 | 0.832842 | 0.872699 |
| 11 | 0.275215 | 0.370514 | 0.836524 | 0.831288 |
| 12 | 0.260308 | 0.383199 | 0.834315 | 0.872699 |
| 13 | 0.249657 | 0.378506 | 0.837997 | 0.842025 |
| 14 | 0.234344 | 0.385054 | 0.834315 | 0.835890 |