Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 110463.50076508522 |
Emissions (Co2eq in kg) | 0.06684313056993 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.304079777996737 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.1150648382519685 |
Consumed energy (kWh) | 1.4191446162487 |
Country name | Switzerland |
Cloud provider | nan |
Cloud region | nan |
CPU count | 2 |
CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
GPU count | nan |
GPU model | nan |
Environmental Impact (for one core)
Metric | Value |
---|---|
CPU energy (kWh) | 0.21264223897278905 |
Emissions (Co2eq in kg) | 0.043264871132991704 |
Note
14 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_2_7e6_base_x2 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 7e-06 |
batch_size | 2 |
weight_decay | 0.0 |
warm_up_prop | 0.0 |
drop_out_prob | 0.1 |
packing_length | 100 |
train_test_split | 0.2 |
num_steps | 29328 |
Training and Testing steps
Epoch | Train Loss | Test Loss | F-beta Score |
---|---|---|---|
0 | 0.000000 | 0.706507 | 0.377892 |
1 | 0.286358 | 0.219088 | 0.911195 |
2 | 0.184758 | 0.223514 | 0.922494 |
3 | 0.126109 | 0.235111 | 0.909901 |
4 | 0.070865 | 0.306972 | 0.920013 |
5 | 0.038988 | 0.349727 | 0.923439 |
6 | 0.020972 | 0.443367 | 0.918204 |
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.