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
30 April 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | BERTrand_bs32_lr5 |
| sequence_length | 400 |
| num_epoch | 12 |
| learning_rate | 5e-05 |
| batch_size | 32 |
| weight_decay | 0.0 |
| warm_up_prop | 0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 6287 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 15.495780 | 13.831327 |
| 0.5 | 7.825472 | 7.840593 |
| 1.0 | 7.327533 | 7.785610 |
| 1.5 | 7.205367 | 7.586150 |
| 2.0 | 7.151769 | 7.663743 |
| 2.5 | 7.125600 | 8.101605 |
| 3.0 | 7.034717 | 7.773854 |
| 3.5 | 7.092155 | 7.549316 |
| 4.0 | 7.067814 | 7.819034 |
| 4.5 | 7.141888 | 7.587213 |
| 5.0 | 7.006890 | 7.892200 |
| 5.5 | 7.049742 | 7.752103 |
| 6.0 | 7.048553 | 7.844037 |
| 6.5 | 7.096755 | 7.641740 |
| 7.0 | 6.994647 | 7.617568 |
| 7.5 | 6.993773 | 7.864096 |