Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 83462.91186285019 |
Emissions (Co2eq in kg) | 0.0505046493661039 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.9853233061080184 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0869394774019719 |
Consumed energy (kWh) | 1.0722627835099874 |
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) | 0.1606661053359866 |
Emissions (Co2eq in kg) | 0.032689640479616325 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs16_lr1e4_x2 |
model_name | ft_32_9e6_x2 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 9e-06 |
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 | 0.713403 | 0.271849 |
1 | 0.389747 | 0.259574 | 0.904380 |
2 | 0.221244 | 0.226052 | 0.926289 |
3 | 0.166123 | 0.235956 | 0.913057 |
4 | 0.128751 | 0.225924 | 0.927311 |
5 | 0.091855 | 0.275362 | 0.919769 |
6 | 0.060632 | 0.310198 | 0.912545 |
- Downloads last month
- 4
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.