Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 96406.65297603609 |
| Emissions (Co2eq in kg) | 0.0583371416060975 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.138131595231595 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1004226096918183 |
| Consumed energy (kWh) | 1.238554204923411 |
| 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) | 0.18558280697886945 |
| Emissions (Co2eq in kg) | 0.03775927241561413 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_2_11e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.1e-05 |
| batch_size | 2 |
| 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 | 0.716349 | 0.529268 |
| 1 | 0.290073 | 0.249224 | 0.888085 |
| 2 | 0.196019 | 0.251713 | 0.913014 |
| 3 | 0.142007 | 0.236418 | 0.937050 |
| 4 | 0.093594 | 0.283093 | 0.913984 |
| 5 | 0.058673 | 0.309192 | 0.905826 |
| 6 | 0.036635 | 0.389606 | 0.907113 |
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