Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 68032.67645573616 |
| Emissions (Co2eq in kg) | 0.0411676188243899 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8031618302038982 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0708667217247187 |
| Consumed energy (kWh) | 0.8740285519286201 |
| 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) | 0.13096290217729212 |
| Emissions (Co2eq in kg) | 0.026646131611829993 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_12e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.2e-05 |
| batch_size | 32 |
| 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 | 0.711194 | 0.490326 |
| 1 | 0.326585 | 0.260003 | 0.875910 |
| 2 | 0.199336 | 0.218389 | 0.917410 |
| 3 | 0.147479 | 0.232200 | 0.922176 |
| 4 | 0.104865 | 0.278120 | 0.909022 |
| 5 | 0.062551 | 0.300760 | 0.921123 |
| 6 | 0.045031 | 0.370350 | 0.917923 |
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