Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 134897.25152778623 |
Emissions (Co2eq in kg) | 0.0816283543799203 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.5925329547660234 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.140516330385457 |
Consumed energy (kWh) | 1.7330492851514907 |
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) | 0.25967720919098847 |
Emissions (Co2eq in kg) | 0.05283475684838293 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs16_lr1e4_x2 |
model_name | ft_1_13e6_x2 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.3e-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 | 0.700491 | 0.656952 |
1 | 0.313010 | 0.256400 | 0.940287 |
2 | 0.208617 | 0.215926 | 0.913511 |
3 | 0.141383 | 0.236510 | 0.928075 |
4 | 0.088429 | 0.276049 | 0.930695 |
5 | 0.043561 | 0.287830 | 0.933413 |
6 | 0.019511 | 0.345625 | 0.926215 |
- Downloads last month
- 11
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.