Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 110626.6824440956 |
| Emissions (Co2eq in kg) | 0.0669419097544549 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.3060067380982958 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1152350562257071 |
| Consumed energy (kWh) | 1.4212417943240037 |
| 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) | 0.21295636370488402 |
| Emissions (Co2eq in kg) | 0.04332878395727077 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_13e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.3e-05 |
| batch_size | 1 |
| 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 | 0.715584 | 0.606901 |
| 1 | 0.347258 | 0.271706 | 0.912195 |
| 2 | 0.248757 | 0.272140 | 0.873027 |
| 3 | 0.190158 | 0.257769 | 0.930347 |
| 4 | 0.139259 | 0.257467 | 0.912825 |
| 5 | 0.096409 | 0.281373 | 0.914309 |
| 6 | 0.061549 | 0.333220 | 0.918922 |
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