Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 91199.04495978355 |
| Emissions (Co2eq in kg) | 0.0551859359111735 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0766530254070938 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0949980204554897 |
| Consumed energy (kWh) | 1.1716510458625833 |
| 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) | 0.17555816154758333 |
| Emissions (Co2eq in kg) | 0.035719625942581885 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_16e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-05 |
| batch_size | 8 |
| 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 | 0.727598 | 0.418584 |
| 1 | 0.324685 | 0.238445 | 0.921786 |
| 2 | 0.220781 | 0.232612 | 0.914212 |
| 3 | 0.174379 | 0.256591 | 0.905455 |
| 4 | 0.136153 | 0.239708 | 0.926487 |
| 5 | 0.107293 | 0.290774 | 0.909186 |
| 6 | 0.083134 | 0.337995 | 0.890555 |
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