Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 85196.056381464 |
Emissions (Co2eq in kg) | 0.0515534170851084 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.0057842271271695 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0887449141884843 |
Consumed energy (kWh) | 1.0945291413156506 |
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) | 0.1640024085343182 |
Emissions (Co2eq in kg) | 0.0333684554160734 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs32_lr1e4_x8 |
model_name | ft_32_5e6_x8 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 5e-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 | 0.699210 | 0.509036 |
1 | 0.382874 | 0.229821 | 0.918817 |
2 | 0.195855 | 0.221110 | 0.912844 |
3 | 0.155226 | 0.213062 | 0.928884 |
4 | 0.117178 | 0.233712 | 0.921449 |
5 | 0.080843 | 0.268133 | 0.921134 |
6 | 0.055163 | 0.338352 | 0.890719 |
- Downloads last month
- 3
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.