Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 143106.27138972282 |
| Emissions (Co2eq in kg) | 0.0865956042936913 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.689442760891385 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.149066066812724 |
| Consumed energy (kWh) | 1.838508827704112 |
| 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) | 0.2754795724252164 |
| Emissions (Co2eq in kg) | 0.056049956294308104 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_4e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-06 |
| 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 | 0.711955 | 0.390644 |
| 1 | 0.323677 | 0.262922 | 0.861749 |
| 2 | 0.213407 | 0.224601 | 0.898290 |
| 3 | 0.172475 | 0.228923 | 0.923345 |
| 4 | 0.133405 | 0.263497 | 0.889966 |
| 5 | 0.102496 | 0.276231 | 0.920206 |
| 6 | 0.070822 | 0.289297 | 0.920704 |
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