Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 89988.7103190422 |
Emissions (Co2eq in kg) | 0.0544535836090959 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.0623649322506452 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0937375625816484 |
Consumed energy (kWh) | 1.156102494832295 |
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) | 0.17322826736415625 |
Emissions (Co2eq in kg) | 0.03524557820829153 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs32_lr1e4_x8 |
model_name | ft_1_4e6_x8 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 4e-06 |
batch_size | 1 |
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 | 0.734237 | 0.499034 |
1 | 0.256781 | 0.212631 | 0.929354 |
2 | 0.159320 | 0.207109 | 0.934332 |
3 | 0.099137 | 0.246333 | 0.932917 |
4 | 0.051876 | 0.289319 | 0.924149 |
5 | 0.025414 | 0.353506 | 0.919986 |
6 | 0.014076 | 0.383146 | 0.917909 |
- Downloads last month
- 22
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.