Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 70576.25810742378 |
Emissions (Co2eq in kg) | 0.0427067888385513 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.8331903351025453 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0735162919022142 |
Consumed energy (kWh) | 0.906706627004764 |
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) | 0.1358592968567908 |
Emissions (Co2eq in kg) | 0.02764236775874098 |
Note
14 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_8_4e6_base_x12 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 4e-06 |
batch_size | 8 |
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 | 0.738107 | 0.498622 |
1 | 0.362937 | 0.285490 | 0.893888 |
2 | 0.242845 | 0.226147 | 0.907963 |
3 | 0.201180 | 0.221389 | 0.929292 |
4 | 0.173048 | 0.228392 | 0.912568 |
5 | 0.150302 | 0.229131 | 0.919069 |
6 | 0.123563 | 0.249005 | 0.923098 |
- Downloads last month
- 15
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.