Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | [More Information Needed] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| CPU power (W) | [NO CPU] |
| GPU power (W) | [No GPU] |
| RAM power (W) | [More Information Needed] |
| CPU energy (kWh) | [No CPU] |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | [More Information Needed] |
| Consumed energy (kWh) | [More Information Needed] |
| Country name | [More Information Needed] |
| Cloud provider | [No Cloud] |
| Cloud region | [No Cloud] |
| CPU count | [No CPU] |
| CPU model | [No CPU] |
| GPU count | [No GPU] |
| GPU model | [No GPU] |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | [No CPU] |
| Emissions (Co2eq in kg) | [More Information Needed] |
Note
24 juin 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs1_lr5_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-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 | 659911 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 15.719150 | 11.665336 |
| 0.5 | 7.340089 | 7.256945 |
| 1.0 | 7.157110 | 7.134097 |
| 1.5 | 7.130677 | 7.098063 |
| 2.0 | 7.123113 | 7.127436 |
| 2.5 | 7.122067 | 7.126453 |
| 3.0 | 7.119943 | 7.094573 |
| 3.5 | 7.115897 | 7.081500 |
| 4.0 | 7.110891 | 7.116901 |
| 4.5 | 7.099238 | 7.080173 |
| 5.0 | 7.094084 | 7.070796 |
| 5.5 | 7.086580 | 7.081593 |
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