metadata
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 |