Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 118563.14472556114 |
| Emissions (Co2eq in kg) | 0.071744342983519 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.399700292143232 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1235018263578417 |
| Consumed energy (kWh) | 1.523202118501074 |
| 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) | 0.22823405359670518 |
| Emissions (Co2eq in kg) | 0.046437231684178105 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_19e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.9e-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 | 0.714148 | 0.219906 |
| 1 | 0.518671 | 0.466849 | 0.837385 |
| 2 | 0.330948 | 0.290861 | 0.903875 |
| 3 | 0.248406 | 0.265139 | 0.902196 |
| 4 | 0.200841 | 0.243451 | 0.912254 |
| 5 | 0.148117 | 0.246318 | 0.924536 |
| 6 | 0.108189 | 0.280129 | 0.923408 |
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