Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 87045.06499767303 |
| Emissions (Co2eq in kg) | 0.0526723430409809 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0276136962470084 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.090671330418686 |
| Consumed energy (kWh) | 1.118285026665696 |
| 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) | 0.1675617501205206 |
| Emissions (Co2eq in kg) | 0.03409265045742194 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x8 |
| model_name | ft_1_6e6_x8 |
| 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 | 0.705590 | 0.508876 |
| 1 | 0.254465 | 0.228226 | 0.915145 |
| 2 | 0.156017 | 0.211692 | 0.931714 |
| 3 | 0.089022 | 0.244750 | 0.923993 |
| 4 | 0.040777 | 0.327415 | 0.928194 |
| 5 | 0.017323 | 0.392466 | 0.922246 |
| 6 | 0.008670 | 0.424276 | 0.924123 |
- Downloads last month
- 35
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.