Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 150715.260171175 |
| Emissions (Co2eq in kg) | 0.0912000925461592 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.7792732673752625 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1569933203014231 |
| Consumed energy (kWh) | 1.9362665876766787 |
| 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) | 0.29012687582951185 |
| Emissions (Co2eq in kg) | 0.05903014356704354 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_18e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.8e-05 |
| 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 | 0.732963 | 0.664813 |
| 1 | 0.518872 | 0.514556 | 0.698939 |
| 2 | 0.464746 | 0.433334 | 0.730469 |
| 3 | 0.410344 | 0.440048 | 0.882333 |
| 4 | 0.410622 | 0.396524 | 0.733695 |
| 5 | 0.341093 | 0.320598 | 0.899545 |
| 6 | 0.293220 | 0.310011 | 0.900245 |
- 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.