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---
language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-05-04T03:41:40'
project_name: BERTrand_bs32_lr5_emissions_tracker
run_id: 96601345-e00c-4518-bad5-88b8b3e7ffa1
duration: 215893.2022356987
emissions: 0.2259719345261451
emissions_rate: 1.0466838797427405e-06
cpu_power: 42.5
gpu_power: 0.0
ram_power: 37.5
cpu_energy: 2.548734558446212
gpu_energy: 0
ram_energy: 2.248869197867814
energy_consumed: 4.797603756313989
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: 4
cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
gpu_count: .nan
gpu_model: .nan
longitude: .nan
latitude: .nan
ram_total_size: 100
tracking_mode: machine
on_cloud: N
pue: 1.0
---
## Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|--------------------------|---------------------------------|
| Duration (in seconds) | 215893.2022356987 |
| Emissions (Co2eq in kg) | 0.2259719345261451 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 37.5 |
| CPU energy (kWh) | 2.548734558446212 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 2.248869197867814 |
| Consumed energy (kWh) | 4.797603756313989 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 4 |
| 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) | 0.41559441430371996 |
| Emissions (Co2eq in kg) | 0.08455817087564864 |
## Note
30 April 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | BERTrand_bs32_lr5 |
| sequence_length | 400 |
| num_epoch | 12 |
| learning_rate | 5e-05 |
| batch_size | 32 |
| weight_decay | 0.0 |
| warm_up_prop | 0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 6287 |
## Training and Testing steps
Epoch | Train Loss | Test Loss
---|---|---
| 0.0 | 15.495780 | 13.831327 |
| 0.5 | 7.825472 | 7.840593 |
| 1.0 | 7.327533 | 7.785610 |
| 1.5 | 7.205367 | 7.586150 |
| 2.0 | 7.151769 | 7.663743 |
| 2.5 | 7.125600 | 8.101605 |
| 3.0 | 7.034717 | 7.773854 |
| 3.5 | 7.092155 | 7.549316 |
| 4.0 | 7.067814 | 7.819034 |
| 4.5 | 7.141888 | 7.587213 |
| 5.0 | 7.006890 | 7.892200 |
| 5.5 | 7.049742 | 7.752103 |
| 6.0 | 7.048553 | 7.844037 |
| 6.5 | 7.096755 | 7.641740 |
| 7.0 | 6.994647 | 7.617568 |
| 7.5 | 6.993773 | 7.864096 |
| 8.0 | 7.058714 | 7.730159 |
| 8.5 | 7.064419 | 7.629280 |
| 9.0 | 7.013462 | 7.746540 |
| 9.5 | 6.962919 | 8.147570 |
| 10.0 | 7.028505 | 7.587558 |
| 10.5 | 7.022366 | 7.531848 |
| 11.0 | 7.059191 | 7.623211 |
| 11.5 | 6.955125 | 7.734247 |
| 12.0 | 7.028196 | 7.606153 |
|