Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 109064.39356517792 |
| Emissions (Co2eq in kg) | 0.0659965061735197 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.2875625823133514 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1136073752994341 |
| Consumed energy (kWh) | 1.4011699576127834 |
| 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) | 0.20994895761296747 |
| Emissions (Co2eq in kg) | 0.042716887479694675 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_2_2e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 2e-06 |
| 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 | 0.739179 | 0.664133 |
| 1 | 0.322950 | 0.235702 | 0.905636 |
| 2 | 0.186866 | 0.218268 | 0.928811 |
| 3 | 0.131121 | 0.221524 | 0.915499 |
| 4 | 0.080359 | 0.255555 | 0.911866 |
| 5 | 0.044916 | 0.278873 | 0.914546 |
| 6 | 0.027208 | 0.309789 | 0.922778 |
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