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_bs16_1lr6_base_x8 |
sequence_length | 400 |
num_epoch | 20 |
learning_rate | 1e-06 |
batch_size | 16 |
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 | 0.523328 | 0.476205 | 0.776141 | 0.906442 |
1 | 0.431474 | 0.413639 | 0.813697 | 0.866564 |
2 | 0.384488 | 0.402209 | 0.823270 | 0.897239 |
3 | 0.353091 | 0.387237 | 0.822533 | 0.800613 |
4 | 0.328723 | 0.390632 | 0.836524 | 0.918712 |
5 | 0.314824 | 0.373720 | 0.835052 | 0.848160 |
6 | 0.299005 | 0.389435 | 0.810751 | 0.750000 |
7 | 0.289835 | 0.386018 | 0.835052 | 0.860429 |
8 | 0.273817 | 0.388888 | 0.829897 | 0.814417 |
9 | 0.257712 | 0.386943 | 0.837997 | 0.871166 |
10 | 0.236881 | 0.410112 | 0.832842 | 0.855828 |
11 | 0.218910 | 0.429738 | 0.820324 | 0.837423 |
12 | 0.207044 | 0.461636 | 0.832106 | 0.891104 |
13 | 0.192752 | 0.454077 | 0.817378 | 0.828221 |
14 | 0.167404 | 0.477347 | 0.802651 | 0.754601 |
15 | 0.146702 | 0.511787 | 0.810751 | 0.875767 |
16 | 0.134885 | 0.540342 | 0.814433 | 0.858896 |
17 | 0.118554 | 0.552969 | 0.807069 | 0.802147 |
18 | 0.105443 | 0.596917 | 0.805596 | 0.803681 |