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---
language: en
tags:
- fill-mask
kwargs:
timestamp: '2024-05-22T15:47:08'
project_name: ft_16_1e6_cv_emissions_tracker
run_id: 3351543a-9f08-4748-9d24-d177e974c299
duration: 83465.50871014595
emissions: 0.0505062485218885
emissions_rate: 6.051152062977732e-07
cpu_power: 42.5
gpu_power: 0.0
ram_power: 3.75
cpu_energy: 0.9853544236797442
gpu_energy: 0
ram_energy: 0.0869423114615182
energy_consumed: 1.0722967351412616
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: 10
tracking_mode: machine
on_cloud: N
pue: 1.0
---
## Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|--------------------------|---------------------------------|
| Duration (in seconds) | 83465.50871014595 |
| Emissions (Co2eq in kg) | 0.0505062485218885 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9853544236797442 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0869423114615182 |
| Consumed energy (kWh) | 1.0722967351412616 |
| 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) | 0.16067110426703096 |
| Emissions (Co2eq in kg) | 0.0326906575781405 |
## Note
21 May 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | damgomz/ThunBERT_bs32_lr5 |
| model_name | ft_16_1e6_cv |
| sequence_length | 400 |
| num_epoch | 6 |
| 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 | 32586 |
## Training and Testing steps
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.613570 | 0.533018 | 0.737477 | 0.881819 |
| 1 | 0.489994 | 0.451972 | 0.794342 | 0.833306 |
| 2 | 0.409385 | 0.398267 | 0.822773 | 0.865210 |
| 3 | 0.358597 | 0.379467 | 0.828665 | 0.850640 |
| 4 | 0.328654 | 0.372455 | 0.833086 | 0.845936 |
| 5 | 0.301602 | 0.373118 | 0.837210 | 0.850023 |
|