Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 69536.97882556915 |
| Emissions (Co2eq in kg) | 0.0420779107323229 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8209211812772679 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0724337524252633 |
| Consumed energy (kWh) | 0.8933549337025327 |
| 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) | 0.13385868423922062 |
| Emissions (Co2eq in kg) | 0.02723531670668125 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_9e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-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 | 0.704357 | 0.420067 |
| 1 | 0.300714 | 0.242746 | 0.922034 |
| 2 | 0.199546 | 0.233068 | 0.924053 |
| 3 | 0.155706 | 0.256864 | 0.935390 |
| 4 | 0.112245 | 0.266599 | 0.924677 |
| 5 | 0.077544 | 0.354683 | 0.903882 |
| 6 | 0.055817 | 0.382382 | 0.909222 |
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