Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 227588.91950631145 |
| Emissions (Co2eq in kg) | 0.171216239243257 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 15.0 |
| CPU energy (kWh) | 2.6868082945638054 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.9482788425087828 |
| Consumed energy (kWh) | 3.63508713707261 |
| 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) | 0.43810867004964954 |
| Emissions (Co2eq in kg) | 0.08913899347330533 |
Note
24 juin 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs2_lr5_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| batch_size | 2 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 326573 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 14.797435 | 9.931768 |
| 0.5 | 7.200603 | 7.150701 |
| 1.0 | 7.161132 | 7.157323 |
| 1.5 | 7.110792 | 7.076695 |
| 2.0 | 7.056588 | 7.058860 |
| 2.5 | 7.053736 | 7.049927 |
| 3.0 | 7.047701 | 7.050566 |
| 3.5 | 7.040186 | 7.039069 |
| 4.0 | 7.035553 | 7.043381 |
| 4.5 | 7.035944 | 7.035038 |
| 5.0 | 7.031625 | 7.035013 |
| 5.5 | 7.025737 | 7.032144 |
| 6.0 | 7.022233 | 7.020910 |
- Downloads last month
- 13
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.