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
2 May 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | BERTrand_bs64_lr5_MLM |
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 | 3270 |
Training and Testing steps
Epoch | Train Loss | Test Loss |
---|---|---|
0.0 | 14.601907 | 13.069239 |
0.5 | 7.447329 | 6.978540 |
1.0 | 6.960886 | 6.950151 |
1.5 | 4.932429 | 2.806009 |
2.0 | 2.701225 | 2.655897 |
2.5 | 2.606577 | 2.581771 |
3.0 | 2.548158 | 2.557307 |
3.5 | 2.505096 | 2.519658 |
4.0 | 2.481079 | 2.493212 |
4.5 | 2.450955 | 2.467917 |
5.0 | 2.436830 | 2.450555 |
5.5 | 2.415499 | 2.444447 |
6.0 | 2.396800 | 2.423250 |
6.5 | 2.386172 | 2.408114 |
7.0 | 2.366631 | 2.397662 |
7.5 | 2.364014 | 2.391399 |
8.0 | 2.338708 | 2.381241 |
8.5 | 2.341727 | 2.370836 |
9.0 | 2.321789 | 2.366722 |
9.5 | 2.321147 | 2.363208 |
10.0 | 2.313457 | 2.352971 |