Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 67871.7352385521 |
| Emissions (Co2eq in kg) | 0.0410702330513391 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8012618744567 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0706990828762451 |
| Consumed energy (kWh) | 0.871960957332947 |
| 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) | 0.13065309033421277 |
| Emissions (Co2eq in kg) | 0.026583096301766238 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_12e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.2e-05 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.715508 | 0.110169 |
| 1 | 0.312260 | 0.231623 | 0.908621 |
| 2 | 0.189941 | 0.227896 | 0.919232 |
| 3 | 0.137408 | 0.241997 | 0.906275 |
| 4 | 0.092541 | 0.288514 | 0.904373 |
| 5 | 0.058133 | 0.352922 | 0.914804 |
| 6 | 0.040254 | 0.357574 | 0.901851 |
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