| | --- |
| | language: en |
| | tags: |
| | - fill-mask |
| | kwargs: |
| | timestamp: '2024-05-14T00:01:34' |
| | project_name: ThunBERT_bs8_lr6_MLM_emissions_tracker |
| | run_id: dd47eaec-ddea-4d60-96f9-97f621b6b7ac |
| | duration: 223065.91824889183 |
| | emissions: 0.2334794830116918 |
| | emissions_rate: 1.046683800217211e-06 |
| | cpu_power: 42.5 |
| | gpu_power: 0.0 |
| | ram_power: 37.5 |
| | cpu_energy: 2.6334121397880956 |
| | gpu_energy: 0 |
| | ram_energy: 2.323584166270997 |
| | energy_consumed: 4.956996306059145 |
| | 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) | 223065.91824889183 | |
| | | Emissions (Co2eq in kg) | 0.2334794830116918 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 37.5 | |
| | | CPU energy (kWh) | 2.6334121397880956 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 2.323584166270997 | |
| | | Consumed energy (kWh) | 4.956996306059145 | |
| | | 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) | 0.4294018926291167 | |
| | | Emissions (Co2eq in kg) | 0.08736748464748263 | |
| |
|
| | ## Note |
| |
|
| | 11 May 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ThunBERT_bs8_lr6_MLM | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 5e-06 | |
| | | batch_size | 8 | |
| | | weight_decay | 0.0 | |
| | | warm_up_prop | 0.0 | |
| | | drop_out_prob | 0.1 | |
| | | packing_length | 100 | |
| | | train_test_split | 0.2 | |
| | | num_steps | 82599 | |
| | |
| | ## Training and Testing steps |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | Epoch | Train Loss | Test Loss |
| | ---|---|--- |
| | | 0.0 | 9.572789 | 8.904013 | |
| | | 0.5 | 2.721201 | 2.621082 | |
| | | 1.0 | 2.571123 | 2.540323 | |
| | | 1.5 | 2.501097 | 2.498298 | |
| | | 2.0 | 2.474394 | 2.462365 | |
| | | 2.5 | 2.439725 | 2.431248 | |
| | | 3.0 | 2.406418 | 2.416753 | |
| | | 3.5 | 2.394601 | 2.402248 | |
| | | 4.0 | 2.376476 | 2.380821 | |
| | | 4.5 | 2.358106 | 2.375012 | |
| | | 5.0 | 2.358450 | 2.366301 | |
| | | 5.5 | 2.346000 | 2.356987 | |
| | | 6.0 | 2.341180 | 2.353812 | |
| | |
