Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 124894.08593463898 |
| Emissions (Co2eq in kg) | 0.0755752899152736 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.4744403658234375 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1300964787291984 |
| Consumed energy (kWh) | 1.6045368445526342 |
| 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) | 0.24042111542418004 |
| Emissions (Co2eq in kg) | 0.04891685032440027 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_3e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-06 |
| 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 | 0.702746 | 0.311382 |
| 1 | 0.291110 | 0.215983 | 0.940413 |
| 2 | 0.177456 | 0.197357 | 0.944174 |
| 3 | 0.119427 | 0.208749 | 0.933625 |
| 4 | 0.062702 | 0.253206 | 0.915969 |
| 5 | 0.026931 | 0.289041 | 0.928013 |
| 6 | 0.011976 | 0.307848 | 0.924659 |
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