Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 79268.96590352058 |
| Emissions (Co2eq in kg) | 0.047966836155913 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9358116411315084 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0825709018275143 |
| Consumed energy (kWh) | 1.0183825429590248 |
| 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) | 0.15259275936427713 |
| Emissions (Co2eq in kg) | 0.03104701164554556 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_3e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-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 | 0.709158 | 0.275495 |
| 1 | 0.434058 | 0.312007 | 0.896704 |
| 2 | 0.249555 | 0.246421 | 0.912820 |
| 3 | 0.187484 | 0.217297 | 0.907058 |
| 4 | 0.146818 | 0.226701 | 0.910997 |
| 5 | 0.108932 | 0.238091 | 0.906553 |
| 6 | 0.075487 | 0.250010 | 0.921942 |
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