Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 37473.51775741577 |
| Emissions (Co2eq in kg) | 0.0226758141771607 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.4423949415524804 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0390346284600596 |
| Consumed energy (kWh) | 0.4814295700125413 |
| 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) | 0.07213652168302537 |
| Emissions (Co2eq in kg) | 0.014677127788321177 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | BERTrand_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-05 |
| batch_size | 16 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 36660 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score | TN | FP | FN | TP |
|---|---|---|---|---|---|---|---|
| 0 | 0.000000 | 0.734902 | 0.000000 | 758.000000 | 4.000000 | 766.000000 | 0.000000 |
| 1 | 0.307200 | 0.232703 | 0.892013 | 699.000000 | 63.000000 | 87.000000 | 679.000000 |
| 2 | 0.200334 | 0.331862 | 0.945844 | 607.000000 | 155.000000 | 15.000000 | 751.000000 |
| 3 | 0.162341 | 0.221791 | 0.940379 | 653.000000 | 109.000000 | 31.000000 | 735.000000 |
| 4 | 0.119471 | 0.254642 | 0.910042 | 698.000000 | 64.000000 | 70.000000 | 696.000000 |
| 5 | 0.093992 | 0.267835 | 0.928884 | 666.000000 | 96.000000 | 45.000000 | 721.000000 |
| 6 | 0.058252 | 0.305894 | 0.927024 | 667.000000 | 95.000000 | 47.000000 | 719.000000 |
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