Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 79405.17804169655 |
| Emissions (Co2eq in kg) | 0.0480492962336105 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9374202616842257 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0827129888541997 |
| Consumed energy (kWh) | 1.0201332505384288 |
| 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) | 0.15285496773026586 |
| Emissions (Co2eq in kg) | 0.03110036139966448 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_2e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 2e-06 |
| batch_size | 4 |
| 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 | 0.702117 | 0.663034 |
| 1 | 0.331973 | 0.244249 | 0.898584 |
| 2 | 0.223249 | 0.223242 | 0.918133 |
| 3 | 0.184843 | 0.232973 | 0.928248 |
| 4 | 0.155380 | 0.219514 | 0.919329 |
| 5 | 0.124815 | 0.238565 | 0.930268 |
| 6 | 0.095063 | 0.268603 | 0.906351 |
- Downloads last month
- -