Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 60506.266407728195 |
| Emissions (Co2eq in kg) | 0.0366132875121688 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7143088167700514 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0630268557670214 |
| Consumed energy (kWh) | 0.7773356725370759 |
| 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) | 0.11647456283487678 |
| Emissions (Co2eq in kg) | 0.02369828767636021 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_12e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.2e-05 |
| batch_size | 32 |
| 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 | 0.716820 | 0.341096 |
| 1 | 0.341059 | 0.242102 | 0.902834 |
| 2 | 0.213414 | 0.232133 | 0.921278 |
| 3 | 0.165743 | 0.246041 | 0.915003 |
| 4 | 0.128356 | 0.239500 | 0.920798 |
| 5 | 0.088278 | 0.307523 | 0.896415 |
| 6 | 0.061984 | 0.337869 | 0.917907 |
- Downloads last month
- -