Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 82295.84658551216 |
| Emissions (Co2eq in kg) | 0.0497984534386226 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9715456916982956 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0857238660313191 |
| Consumed energy (kWh) | 1.0572695577296167 |
| 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) | 0.1584195046771109 |
| Emissions (Co2eq in kg) | 0.03223253991265893 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_2e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 2e-06 |
| 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 | 0.702210 | 0.196273 |
| 1 | 0.399106 | 0.277543 | 0.893778 |
| 2 | 0.233718 | 0.228669 | 0.911356 |
| 3 | 0.190338 | 0.236279 | 0.890776 |
| 4 | 0.153482 | 0.230623 | 0.912577 |
| 5 | 0.121071 | 0.239043 | 0.927056 |
| 6 | 0.088441 | 0.272771 | 0.901739 |
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