Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 138586.00254654884 |
| Emissions (Co2eq in kg) | 0.0838604860441988 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.6360808024961149 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1443588069431483 |
| Consumed energy (kWh) | 1.7804396094392645 |
| 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) | 0.2667780549021065 |
| Emissions (Co2eq in kg) | 0.054279517664064955 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_14e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.4e-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 | 0.733759 | 0.336097 |
| 1 | 0.382187 | 0.283420 | 0.900202 |
| 2 | 0.248795 | 0.261179 | 0.905896 |
| 3 | 0.197816 | 0.248968 | 0.924335 |
| 4 | 0.151086 | 0.248294 | 0.920948 |
| 5 | 0.110777 | 0.288859 | 0.916441 |
| 6 | 0.082178 | 0.306526 | 0.914559 |
- Downloads last month
- 1