Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 37375.12590241432 |
| Emissions (Co2eq in kg) | 0.0226162737932339 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.4412333646724621 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0389321051314473 |
| Consumed energy (kWh) | 0.4801654698039091 |
| 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) | 0.07194711736214757 |
| Emissions (Co2eq in kg) | 0.014638590978445607 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs16_lr7_base_x4 |
| sequence_length | 400 |
| num_epoch | 15 |
| learning_rate | 5e-07 |
| batch_size | 16 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 81450 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.605615 | 0.536105 | 0.730486 | 0.645706 |
| 1 | 0.482335 | 0.471153 | 0.768778 | 0.822086 |
| 2 | 0.437222 | 0.441530 | 0.788660 | 0.860429 |
| 3 | 0.402839 | 0.413280 | 0.807806 | 0.845092 |
| 4 | 0.377685 | 0.391815 | 0.821797 | 0.845092 |
| 5 | 0.357874 | 0.384717 | 0.824006 | 0.872699 |
| 6 | 0.344697 | 0.380295 | 0.827688 | 0.874233 |
| 7 | 0.332695 | 0.372667 | 0.836524 | 0.838957 |
| 8 | 0.321463 | 0.372000 | 0.835788 | 0.831288 |
| 9 | 0.312764 | 0.383289 | 0.830633 | 0.895706 |
| 10 | 0.301846 | 0.372779 | 0.840206 | 0.875767 |
| 11 | 0.293261 | 0.393013 | 0.831370 | 0.911043 |
| 12 | 0.286456 | 0.385383 | 0.829897 | 0.891104 |
| 13 | 0.277988 | 0.382923 | 0.842415 | 0.881902 |
| 14 | 0.268274 | 0.382455 | 0.839470 | 0.855828 |
- Downloads last month
- 3