Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 54623.4946975708 |
| Emissions (Co2eq in kg) | 0.0330535358166945 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.644859603999719 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0568990808837117 |
| Consumed energy (kWh) | 0.7017586848834317 |
| 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) | 0.10515022729282379 |
| Emissions (Co2eq in kg) | 0.021394202089881898 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_13e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.3e-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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.703628 | 0.565939 |
| 1 | 0.341304 | 0.251050 | 0.900707 |
| 2 | 0.219241 | 0.228998 | 0.922114 |
| 3 | 0.183843 | 0.232761 | 0.928633 |
| 4 | 0.144460 | 0.231116 | 0.927725 |
| 5 | 0.109912 | 0.264342 | 0.913408 |
| 6 | 0.084848 | 0.305402 | 0.919047 |
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