Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 93264.54954981804 |
| Emissions (Co2eq in kg) | 0.0564357814074074 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1010370052761516 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0971494749983148 |
| Consumed energy (kWh) | 1.1981864802744633 |
| 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) | 0.17953425788339974 |
| Emissions (Co2eq in kg) | 0.0365286152403454 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_6e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 6e-06 |
| batch_size | 4 |
| 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 | 0.707616 | 0.600934 |
| 1 | 0.300653 | 0.234239 | 0.923327 |
| 2 | 0.201648 | 0.219349 | 0.912682 |
| 3 | 0.156999 | 0.242996 | 0.903843 |
| 4 | 0.113027 | 0.266872 | 0.913213 |
| 5 | 0.077025 | 0.328098 | 0.924344 |
| 6 | 0.052127 | 0.332012 | 0.924386 |
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