Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 73775.39937996864 |
| Emissions (Co2eq in kg) | 0.0446426211045506 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8709576540231693 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0768485731174548 |
| Consumed energy (kWh) | 0.9478062271406258 |
| 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) | 0.1420176438064396 |
| Emissions (Co2eq in kg) | 0.028895364757154384 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_1e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-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 | 0.707324 | 0.511462 |
| 1 | 0.488820 | 0.371138 | 0.871650 |
| 2 | 0.332835 | 0.316884 | 0.898226 |
| 3 | 0.277058 | 0.270559 | 0.903391 |
| 4 | 0.239084 | 0.259334 | 0.913405 |
| 5 | 0.217853 | 0.242396 | 0.899901 |
| 6 | 0.197858 | 0.237445 | 0.905213 |
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