Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 80826.54361987114 |
Emissions (Co2eq in kg) | 0.0489093695269128 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.9541999848273044 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0841934574969114 |
Consumed energy (kWh) | 1.0383934423242152 |
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) | 0.15559109646825195 |
Emissions (Co2eq in kg) | 0.03165706291778286 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs32_lr1e4_x1 |
model_name | ft_32_3e6_x1 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 3e-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 | 0.714944 | 0.465208 |
1 | 0.451778 | 0.290866 | 0.899854 |
2 | 0.230822 | 0.213713 | 0.928605 |
3 | 0.173411 | 0.198978 | 0.931261 |
4 | 0.143733 | 0.200565 | 0.915577 |
5 | 0.118035 | 0.207412 | 0.926432 |
6 | 0.092182 | 0.217424 | 0.922811 |
- Downloads last month
- 6
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.