Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 67374.81988477707 |
| Emissions (Co2eq in kg) | 0.0407695496444588 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7953956637606016 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0701814926577112 |
| Consumed energy (kWh) | 0.8655771564183103 |
| 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) | 0.12969652827819583 |
| Emissions (Co2eq in kg) | 0.026388471121537683 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_9e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-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 | 0.703601 | 0.562960 |
| 1 | 0.287286 | 0.255282 | 0.892093 |
| 2 | 0.189257 | 0.226804 | 0.914889 |
| 3 | 0.137616 | 0.245570 | 0.918981 |
| 4 | 0.091084 | 0.261889 | 0.919661 |
| 5 | 0.058447 | 0.322563 | 0.900895 |
| 6 | 0.041570 | 0.363783 | 0.897305 |
- Downloads last month
- -