--- language: en tags: - fill-mask --- ## Environmental Impact (CODE CARBON DEFAULT) | Metric | Value | |--------------------------|---------------------------------| | Duration (in seconds) | [More Information Needed] | | Emissions (Co2eq in kg) | [More Information Needed] | | CPU power (W) | [NO CPU] | | GPU power (W) | [No GPU] | | RAM power (W) | [More Information Needed] | | CPU energy (kWh) | [No CPU] | | GPU energy (kWh) | [No GPU] | | RAM energy (kWh) | [More Information Needed] | | Consumed energy (kWh) | [More Information Needed] | | Country name | [More Information Needed] | | Cloud provider | [No Cloud] | | Cloud region | [No Cloud] | | CPU count | [No CPU] | | CPU model | [No CPU] | | GPU count | [No GPU] | | GPU model | [No GPU] | ## Environmental Impact (for one core) | Metric | Value | |--------------------------|---------------------------------| | CPU energy (kWh) | [No CPU] | | Emissions (Co2eq in kg) | [More Information Needed] | ## Note 20 May 2024 ## My Config | Config | Value | |--------------------------|-----------------| | checkpoint | albert-base-v2 | | model_name | ft_bs32_lr7_base_x8 | | sequence_length | 400 | | num_epoch | 20 | | learning_rate | 5e-07 | | batch_size | 32 | | weight_decay | 0.0 | | warm_up_prop | 0.0 | | drop_out_prob | 0.1 | | packing_length | 100 | | train_test_split | 0.2 | | num_steps | 108600 | ## Training and Testing steps Epoch | Train Loss | Test Loss | Accuracy | Recall ---|---|---|---|--- | 0 | 0.599385 | 0.533520 | 0.732695 | 0.743865 | | 1 | 0.497255 | 0.495337 | 0.756996 | 0.874233 | | 2 | 0.456973 | 0.457591 | 0.777614 | 0.812883 | | 3 | 0.428078 | 0.435462 | 0.792342 | 0.811350 | | 4 | 0.405985 | 0.418146 | 0.806333 | 0.865031 | | 5 | 0.386763 | 0.402823 | 0.818851 | 0.852761 | | 6 | 0.370968 | 0.398841 | 0.818115 | 0.819018 | | 7 | 0.361504 | 0.389461 | 0.822533 | 0.865031 | | 8 | 0.348315 | 0.386434 | 0.828424 | 0.881902 | | 9 | 0.339924 | 0.381690 | 0.829897 | 0.820552 | | 10 | 0.333508 | 0.379336 | 0.829161 | 0.869632 |