Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 79286.06161999702 |
| Emissions (Co2eq in kg) | 0.0479771909428788 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9360136961478334 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0825886890006561 |
| Consumed energy (kWh) | 1.018602385148486 |
| 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) | 0.15262566861849428 |
| Emissions (Co2eq in kg) | 0.031053707467832165 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_17e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-05 |
| batch_size | 16 |
| 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 | 0.728281 | 0.474583 |
| 1 | 0.296547 | 0.246440 | 0.901960 |
| 2 | 0.183344 | 0.221698 | 0.934347 |
| 3 | 0.124925 | 0.243075 | 0.915442 |
| 4 | 0.083579 | 0.281614 | 0.914141 |
| 5 | 0.052343 | 0.303999 | 0.928903 |
| 6 | 0.043086 | 0.326129 | 0.900615 |
- 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.