Environmental Impact (CODE CARBON DEFAULT)
Metric | Value |
---|---|
Duration (in seconds) | 87923.59048891068 |
Emissions (Co2eq in kg) | 0.0532039386172523 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.0379849732807918 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0915863440426686 |
Consumed energy (kWh) | 1.129571317323461 |
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) | 0.16925291169115303 |
Emissions (Co2eq in kg) | 0.03443673960815668 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs16_lr1e4_x2 |
model_name | ft_1_6e6_x2 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 6e-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 | 0.705273 | 0.363499 |
1 | 0.296588 | 0.213043 | 0.928835 |
2 | 0.183197 | 0.213951 | 0.937286 |
3 | 0.131973 | 0.218915 | 0.928766 |
4 | 0.094068 | 0.259441 | 0.927765 |
5 | 0.063657 | 0.293267 | 0.914326 |
6 | 0.044715 | 0.305442 | 0.923744 |
- Downloads last month
- 2
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.