Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 142225.69137454033 |
| Emissions (Co2eq in kg) | 0.0860629202395417 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.6790493598459486 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1481500677573185 |
| Consumed energy (kWh) | 1.827199427603272 |
| 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) | 0.2737844558959901 |
| Emissions (Co2eq in kg) | 0.05570506245502829 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_3e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-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 | 0.696752 | 0.211609 |
| 1 | 0.289390 | 0.227644 | 0.924058 |
| 2 | 0.186858 | 0.226806 | 0.903881 |
| 3 | 0.129674 | 0.242753 | 0.930344 |
| 4 | 0.080989 | 0.279335 | 0.923645 |
| 5 | 0.039666 | 0.377911 | 0.905422 |
| 6 | 0.021807 | 0.399417 | 0.907607 |
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