Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 81948.49645328522 |
| Emissions (Co2eq in kg) | 0.0495882706839072 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.967445109701324 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.085362063902368 |
| Consumed energy (kWh) | 1.052807173603686 |
| 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) | 0.15775085567257402 |
| Emissions (Co2eq in kg) | 0.03209649444420338 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_6e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 6e-06 |
| batch_size | 32 |
| 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 | 0.709260 | 0.345444 |
| 1 | 0.352131 | 0.265789 | 0.904976 |
| 2 | 0.216744 | 0.220877 | 0.917889 |
| 3 | 0.166817 | 0.221011 | 0.913739 |
| 4 | 0.127526 | 0.226639 | 0.931894 |
| 5 | 0.084004 | 0.271546 | 0.922001 |
| 6 | 0.059928 | 0.307502 | 0.899673 |
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