Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 66165.19779753685 |
Emissions (Co2eq in kg) | 0.0400375867645832 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.7811153796101601 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0689214935896297 |
Consumed energy (kWh) | 0.8500368731997894 |
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) | 0.12736800576025842 |
Emissions (Co2eq in kg) | 0.025914702470701934 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs32_lr1e4_x4 |
model_name | ft_32_19e6_x4 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.9e-05 |
batch_size | 32 |
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 | 0.698568 | 0.411390 |
1 | 0.298682 | 0.212410 | 0.932105 |
2 | 0.158875 | 0.206313 | 0.935507 |
3 | 0.106713 | 0.231826 | 0.923424 |
4 | 0.058001 | 0.277089 | 0.909667 |
5 | 0.032546 | 0.346564 | 0.909369 |
6 | 0.026976 | 0.363970 | 0.922142 |
- Downloads last month
- 5
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.