Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 89592.75826263428 |
| Emissions (Co2eq in kg) | 0.0542139306215308 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0576896930745885 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0933247359509266 |
| Consumed energy (kWh) | 1.1510144290255158 |
| 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) | 0.17246605965557096 |
| Emissions (Co2eq in kg) | 0.03509049698619843 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_10e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-05 |
| batch_size | 8 |
| 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 | 0.705863 | 0.498584 |
| 1 | 0.310793 | 0.247906 | 0.891662 |
| 2 | 0.201821 | 0.224955 | 0.933801 |
| 3 | 0.155251 | 0.237895 | 0.928766 |
| 4 | 0.116634 | 0.260409 | 0.925364 |
| 5 | 0.076090 | 0.295679 | 0.931498 |
| 6 | 0.054589 | 0.358216 | 0.911802 |
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