Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 85922.26341843605 |
| Emissions (Co2eq in kg) | 0.0519928471908627 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.014357368135785 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0895013013375301 |
| Consumed energy (kWh) | 1.103858669473317 |
| 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) | 0.1654003570804894 |
| Emissions (Co2eq in kg) | 0.03365288650555412 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_7e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 7e-06 |
| 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 | 0.740909 | 0.166798 |
| 1 | 0.362867 | 0.293668 | 0.921998 |
| 2 | 0.237607 | 0.227990 | 0.902193 |
| 3 | 0.198345 | 0.221018 | 0.923851 |
| 4 | 0.164885 | 0.228090 | 0.917057 |
| 5 | 0.137201 | 0.232518 | 0.920178 |
| 6 | 0.110112 | 0.277356 | 0.915008 |
- Downloads last month
- -