Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 81303.61992526054 |
| Emissions (Co2eq in kg) | 0.0491980418320612 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9598319297734268 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0846903061039744 |
| Consumed energy (kWh) | 1.0445222358773971 |
| 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) | 0.15650946835612656 |
| Emissions (Co2eq in kg) | 0.03184391780406038 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_6e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 6e-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 | 0.742219 | 0.760623 |
| 1 | 0.379147 | 0.253497 | 0.905509 |
| 2 | 0.210643 | 0.224062 | 0.935292 |
| 3 | 0.154627 | 0.227763 | 0.930814 |
| 4 | 0.110174 | 0.232698 | 0.911840 |
| 5 | 0.076161 | 0.253944 | 0.917156 |
| 6 | 0.047911 | 0.286995 | 0.921704 |
- 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.