Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 85531.66389083862 |
Emissions (Co2eq in kg) | 0.0517564975194601 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.0097462786599969 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.089094457618644 |
Consumed energy (kWh) | 1.0988407362786388 |
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) | 0.16464845298986436 |
Emissions (Co2eq in kg) | 0.03349990169057846 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_32_19e6_base_x8 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.9e-05 |
batch_size | 32 |
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 | 0.690710 | 0.749326 |
1 | 0.333250 | 0.246641 | 0.907186 |
2 | 0.202962 | 0.219654 | 0.926463 |
3 | 0.155026 | 0.235011 | 0.911817 |
4 | 0.110104 | 0.257781 | 0.924271 |
5 | 0.082243 | 0.309697 | 0.904224 |
6 | 0.052416 | 0.345349 | 0.920317 |
- Downloads last month
- 1
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.