Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 145515.008112669 |
| Emissions (Co2eq in kg) | 0.088053338599913 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.7178814861012832 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1515764574649435 |
| Consumed energy (kWh) | 1.8694579435662313 |
| 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) | 0.28011639061688776 |
| Emissions (Co2eq in kg) | 0.05699337817746202 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_4e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-06 |
| batch_size | 1 |
| 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 | 0.714698 | 0.273631 |
| 1 | 0.295669 | 0.258577 | 0.896914 |
| 2 | 0.199703 | 0.230602 | 0.905470 |
| 3 | 0.152348 | 0.238725 | 0.913255 |
| 4 | 0.105841 | 0.265256 | 0.908841 |
| 5 | 0.066965 | 0.335169 | 0.913403 |
| 6 | 0.039818 | 0.392752 | 0.911006 |
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