Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 83807.51807260513 |
Emissions (Co2eq in kg) | 0.0507132109822813 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.9893921244440796 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0872986248453459 |
Consumed energy (kWh) | 1.0766907492894289 |
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) | 0.16132947228976488 |
Emissions (Co2eq in kg) | 0.03282461124510368 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs32_lr1e4_x1 |
model_name | ft_4_15e6_x1 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.5e-05 |
batch_size | 4 |
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 | 0.706096 | 0.583207 |
1 | 0.249807 | 0.226806 | 0.908152 |
2 | 0.150649 | 0.222144 | 0.914056 |
3 | 0.087490 | 0.250647 | 0.917532 |
4 | 0.044206 | 0.273422 | 0.933326 |
5 | 0.024352 | 0.309721 | 0.919365 |
6 | 0.019061 | 0.344110 | 0.927151 |
- 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.