Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 101079.87983417512 |
| Emissions (Co2eq in kg) | 0.0611650011302015 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1933018128352038 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1052905977336071 |
| Consumed energy (kWh) | 1.2985924105688098 |
| 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) | 0.1945787686807871 |
| Emissions (Co2eq in kg) | 0.03958961960171859 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_16e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-05 |
| 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 | 0.717031 | 0.529650 |
| 1 | 0.392374 | 0.345144 | 0.895998 |
| 2 | 0.311493 | 0.353335 | 0.809555 |
| 3 | 0.253239 | 0.264081 | 0.901452 |
| 4 | 0.208982 | 0.276619 | 0.888163 |
| 5 | 0.186023 | 0.273269 | 0.926296 |
| 6 | 0.161790 | 0.251367 | 0.921505 |
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