Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 76621.74913239479 |
| Emissions (Co2eq in kg) | 0.0463650066155656 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9045605412531228 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0798136039999626 |
| Consumed energy (kWh) | 0.9843741452530872 |
| 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) | 0.14749686707985998 |
| Emissions (Co2eq in kg) | 0.030010185076854625 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_8e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 8e-06 |
| batch_size | 8 |
| 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 | 0.711159 | 0.644634 |
| 1 | 0.303857 | 0.223685 | 0.919502 |
| 2 | 0.203095 | 0.225160 | 0.919825 |
| 3 | 0.158519 | 0.233787 | 0.908600 |
| 4 | 0.112479 | 0.268151 | 0.925535 |
| 5 | 0.080784 | 0.294846 | 0.904746 |
| 6 | 0.050497 | 0.363893 | 0.908327 |
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