Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 92457.45198321342 |
Emissions (Co2eq in kg) | 0.0559474132517762 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.0915090915325605 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0963088582302131 |
Consumed energy (kWh) | 1.18781794976277 |
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) | 0.17798059506768585 |
Emissions (Co2eq in kg) | 0.03621250202675858 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs32_lr1e4_x8 |
model_name | ft_4_12e6_x8 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.2e-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 | 0.704987 | 0.501642 |
1 | 0.260623 | 0.220262 | 0.928159 |
2 | 0.160700 | 0.233257 | 0.906565 |
3 | 0.100009 | 0.266202 | 0.929993 |
4 | 0.056924 | 0.322706 | 0.929860 |
5 | 0.032739 | 0.362292 | 0.909036 |
6 | 0.021091 | 0.412815 | 0.920023 |
- 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.