Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 67267.01394557953 |
| Emissions (Co2eq in kg) | 0.0407043058450788 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7941228226302419 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0700691445271172 |
| Consumed energy (kWh) | 0.8641919671573616 |
| 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) | 0.1294890018452406 |
| Emissions (Co2eq in kg) | 0.026346247128685312 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_12e6_base_x2 |
| 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 | 0.700174 | 0.457632 |
| 1 | 0.310045 | 0.220452 | 0.923740 |
| 2 | 0.184045 | 0.228084 | 0.903657 |
| 3 | 0.130219 | 0.243912 | 0.922642 |
| 4 | 0.077956 | 0.262247 | 0.915680 |
| 5 | 0.044828 | 0.349786 | 0.904203 |
| 6 | 0.029975 | 0.360177 | 0.895238 |
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