Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 80777.6249601841 |
| Emissions (Co2eq in kg) | 0.0488797691865992 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9536225594489124 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0841424388865633 |
| Consumed energy (kWh) | 1.0377649983354753 |
| 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) | 0.15549692804835438 |
| Emissions (Co2eq in kg) | 0.03163790310940544 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_17e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-05 |
| 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 | 0.723661 | 0.538849 |
| 1 | 0.306405 | 0.249617 | 0.894682 |
| 2 | 0.197088 | 0.241370 | 0.882364 |
| 3 | 0.153996 | 0.257044 | 0.909714 |
| 4 | 0.105816 | 0.255133 | 0.914961 |
| 5 | 0.071601 | 0.332503 | 0.922928 |
| 6 | 0.057070 | 0.331262 | 0.914841 |
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