Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 70919.72640681267 |
| Emissions (Co2eq in kg) | 0.0429146487619044 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8372454706148931 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0738742245487867 |
| Consumed energy (kWh) | 0.9111196951636796 |
| 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) | 0.13652047333311437 |
| Emissions (Co2eq in kg) | 0.027776892842668297 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_1e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-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 | 0.742139 | 0.643958 |
| 1 | 0.353397 | 0.245426 | 0.931761 |
| 2 | 0.205362 | 0.217203 | 0.933393 |
| 3 | 0.155545 | 0.223547 | 0.908599 |
| 4 | 0.113779 | 0.219629 | 0.912834 |
| 5 | 0.082111 | 0.234363 | 0.921346 |
| 6 | 0.061661 | 0.238322 | 0.917977 |
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