--- 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 |