Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 133936.00465154648 |
Emissions (Co2eq in kg) | 0.0810467465092037 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.581185752767985 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.1395154321156447 |
Consumed energy (kWh) | 1.7207011848836269 |
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) | 0.257826808954227 |
Emissions (Co2eq in kg) | 0.05245826848852237 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | albert-base-v2 |
model_name | ft_1_11e6_base_x12 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.1e-05 |
batch_size | 1 |
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 | 0.702339 | 0.615059 |
1 | 0.340996 | 0.282906 | 0.910659 |
2 | 0.247532 | 0.237807 | 0.924088 |
3 | 0.198956 | 0.227085 | 0.931612 |
4 | 0.160615 | 0.261149 | 0.938091 |
5 | 0.132862 | 0.257193 | 0.925788 |
6 | 0.107036 | 0.275526 | 0.926509 |
- Downloads last month
- 9
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.