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_bs64_lr5 |
| sequence_length | 400 |
| num_epoch | 12 |
| learning_rate | 5e-05 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 3148 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 15.402081 | 13.817045 |
| 0.5 | 8.054414 | 7.829068 |
| 1.0 | 4.816239 | 3.114260 |
| 1.5 | 2.206430 | 2.955595 |
| 2.0 | 2.189819 | 2.872115 |
| 2.5 | 2.418134 | 2.865437 |
| 3.0 | 2.349051 | 2.810524 |
| 3.5 | 2.102283 | 2.820134 |
| 4.0 | 1.907061 | 2.957294 |
| 4.5 | 2.326205 | 2.785392 |
| 5.0 | 2.257292 | 2.737638 |
| 5.5 | 2.127350 | 2.733068 |
| 6.0 | 1.883285 | 2.774372 |
| 6.5 | 2.100682 | 2.667502 |
| 7.0 | 2.194973 | 2.628296 |
| 7.5 | 2.163919 | 2.643665 |
| 8.0 | 1.850441 | 2.637510 |
| 8.5 | 1.968181 | 2.632833 |