Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 126899.0899014473 |
| Emissions (Co2eq in kg) | 0.0767885371792684 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.4981102654124334 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1321849975176153 |
| Consumed energy (kWh) | 1.6302952629300531 |
| 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) | 0.24428074806028605 |
| Emissions (Co2eq in kg) | 0.049702143544733526 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_6e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 6e-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 | 0.754974 | 0.256378 |
| 1 | 0.291945 | 0.218552 | 0.925019 |
| 2 | 0.188402 | 0.223323 | 0.939052 |
| 3 | 0.134682 | 0.217678 | 0.932286 |
| 4 | 0.078710 | 0.262848 | 0.926795 |
| 5 | 0.035673 | 0.314623 | 0.917932 |
| 6 | 0.012242 | 0.352848 | 0.922372 |
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