Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 78267.09637570381 |
Emissions (Co2eq in kg) | 0.0473605984469774 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.9239842295850323 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0815272977069019 |
Consumed energy (kWh) | 1.005511527291935 |
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) | 0.15066416052322984 |
Emissions (Co2eq in kg) | 0.03065461274715066 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_16_14e6_base_x4 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.4e-05 |
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 | 29328 |
Training and Testing steps
Epoch | Train Loss | Test Loss | F-beta Score |
---|---|---|---|
0 | 0.000000 | 0.713744 | 0.341338 |
1 | 0.291032 | 0.237597 | 0.925623 |
2 | 0.188356 | 0.220906 | 0.907960 |
3 | 0.135343 | 0.265110 | 0.928400 |
4 | 0.088689 | 0.267874 | 0.925489 |
5 | 0.056511 | 0.382746 | 0.899609 |
6 | 0.039956 | 0.380767 | 0.906265 |
- Downloads last month
- 10
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.