Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 73053.05455112457 |
Emissions (Co2eq in kg) | 0.0442055628705618 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.8624306126925704 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0760964434328178 |
Consumed energy (kWh) | 0.9385270561253864 |
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) | 0.1406271300109148 |
Emissions (Co2eq in kg) | 0.028612446365857126 |
Note
14 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_1_1e6_base_x2 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1e-06 |
batch_size | 1 |
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 | 0.719528 | 0.827468 |
1 | 0.322842 | 0.239994 | 0.902464 |
2 | 0.200426 | 0.211224 | 0.932096 |
3 | 0.157790 | 0.212287 | 0.930823 |
4 | 0.122281 | 0.218374 | 0.923719 |
5 | 0.090627 | 0.234106 | 0.921269 |
6 | 0.070953 | 0.241606 | 0.916638 |
- Downloads last month
- 6
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.