Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 169288.63881349564 |
| Emissions (Co2eq in kg) | 0.1273567197062644 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 15.0 |
| CPU energy (kWh) | 1.998543150931596 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.705363766251999 |
| Consumed energy (kWh) | 2.7039069171835943 |
| 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) | 0.3258806297159791 |
| Emissions (Co2eq in kg) | 0.06630471686861912 |
Note
24 juin 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs2_lr5_x2 |
| 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 | 331818 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 14.880123 | 11.677036 |
| 0.5 | 3.736505 | 3.349467 |
| 1.0 | 3.228827 | 3.162346 |
| 1.5 | 3.067763 | 3.029165 |
| 2.0 | 2.967566 | 2.966854 |
| 2.5 | 2.890850 | 2.886298 |
| 3.0 | 2.820112 | 2.837334 |
| 3.5 | 2.748304 | 2.769782 |
| 4.0 | 2.683697 | 2.722025 |
| 4.5 | 2.627885 | 2.648497 |
| 5.0 | 2.560150 | 2.600250 |
| 5.5 | 2.508955 | 2.550986 |
| 6.0 | 2.449380 | 2.516210 |
- Downloads last month
- 12
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.