Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 74113.52281689644 |
Emissions (Co2eq in kg) | 0.0448472581552265 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.8749498747098774 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0772009958709278 |
Consumed energy (kWh) | 0.952150870580807 |
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) | 0.14266853142252564 |
Emissions (Co2eq in kg) | 0.02902779643661777 |
Note
14 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_2_1e6_base_x1 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1e-06 |
batch_size | 2 |
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 | 0.761743 | 0.392335 |
1 | 0.382859 | 0.259608 | 0.907663 |
2 | 0.221728 | 0.224706 | 0.914386 |
3 | 0.164779 | 0.217373 | 0.918405 |
4 | 0.118216 | 0.232110 | 0.907700 |
5 | 0.083014 | 0.256182 | 0.915767 |
6 | 0.057181 | 0.289307 | 0.906265 |
- Downloads last month
- 2
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.