Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 181388.89907860756 |
| Emissions (Co2eq in kg) | 0.1364597054582643 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 15.0 |
| CPU energy (kWh) | 2.1413922899060753 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.7557798605422154 |
| Consumed energy (kWh) | 2.897172150448278 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 6 |
| 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) | 0.3491736307263195 |
| Emissions (Co2eq in kg) | 0.07104398547245462 |
Note
24 juin 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs8_lr5_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| batch_size | 8 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 81877 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 14.261697 | 12.472152 |
| 0.5 | 4.039305 | 3.638777 |
| 1.0 | 3.482988 | 3.391594 |
| 1.5 | 3.280960 | 3.229638 |
| 2.0 | 3.146858 | 3.132874 |
| 2.5 | 3.040396 | 3.052696 |
| 3.0 | 2.964159 | 2.985242 |
| 3.5 | 2.892340 | 2.924823 |
| 4.0 | 2.829392 | 2.867743 |
| 4.5 | 2.779719 | 2.821858 |
| 5.0 | 2.722818 | 2.786506 |
| 5.5 | 2.695031 | 2.755849 |
| 6.0 | 2.655259 | 2.733309 |
- Downloads last month
- 22
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.