Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 67823.33742809296 |
| Emissions (Co2eq in kg) | 0.0410409541435312 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8006906433511117 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0706486943175396 |
| Consumed energy (kWh) | 0.8713393376686526 |
| 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) | 0.13055992454907892 |
| Emissions (Co2eq in kg) | 0.026564140492669735 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_11e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.1e-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 | 0.735712 | 0.339216 |
| 1 | 0.296859 | 0.233050 | 0.903669 |
| 2 | 0.179071 | 0.225548 | 0.910416 |
| 3 | 0.124945 | 0.221315 | 0.919392 |
| 4 | 0.074707 | 0.298453 | 0.909107 |
| 5 | 0.048908 | 0.301912 | 0.933240 |
| 6 | 0.030443 | 0.359347 | 0.913699 |
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