Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 79819.9570338726 |
Emissions (Co2eq in kg) | 0.048300264090403 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.9423167014588923 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0831448405551412 |
Consumed energy (kWh) | 1.025461542014034 |
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) | 0.15365341729020476 |
Emissions (Co2eq in kg) | 0.031262816504933434 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_16_15e6_base_x8 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.5e-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 | 0.711724 | 0.583614 |
1 | 0.310757 | 0.224640 | 0.916699 |
2 | 0.203199 | 0.217672 | 0.913865 |
3 | 0.153599 | 0.238551 | 0.921586 |
4 | 0.110183 | 0.278579 | 0.917867 |
5 | 0.074537 | 0.309212 | 0.910933 |
6 | 0.051530 | 0.332589 | 0.913507 |
- 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.