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
23 May 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | fp_bs32_lr5_x4 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 5e-05 |
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 | 20474 |
Training and Testing steps
Epoch | Train Loss | Test Loss |
---|---|---|
0.0 | 13.351377 | 11.863091 |
0.5 | 4.567548 | 3.794884 |
1.0 | 3.590797 | 3.455211 |
1.5 | 3.345965 | 3.288297 |
2.0 | 3.198848 | 3.176345 |
2.5 | 3.093061 | 3.087619 |
3.0 | 3.012470 | 3.013932 |
3.5 | 2.945540 | 2.949879 |
4.0 | 2.882858 | 2.898032 |
4.5 | 2.832584 | 2.853366 |
5.0 | 2.791554 | 2.814966 |
5.5 | 2.747674 | 2.785408 |